SOCR - User contributions [en]

SOCR Servers

2013-08-09T21:20:02Z

IvoDinov: /* SOCR Servers */

== [[SOCR_Docs| SOCR Documentation]] - SOCR Servers and Mirrors ==
[[Image:SOCR_Icon_Infrastructure.png|150px|thumbnail|right| SOCR Servers]]

[[SOCR]] has multiple servers and several (known) mirror-sites. The public, open and distributed nature of the entire [[SOCR]] project allows us to only identify some of the private or off-site public servers which deploy, support or maintain SOCR materials, data, tools and web-services. This page identifies only the known such servers.

=== SOCR Servers===
* Primary SOCR Servers:
** [http://socr.umich.edu/ SOCR UMichigan Server (http://socr.umich.edu)].
** [http://socr.ucla.edu/ SOCR UCLA Server (http://socr.ucla.edu)].
* [http://wiki.stat.ucla.edu/socr SOCR Wiki Server (http://wiki.stat.ucla.edu/socr)].
* [http://forums.stat.ucla.edu/socr SOCR Forum Server (http://forums.stat.ucla.edu/socr)].
* [http://socr.googlecode.com/ SOCR ''GoogleCode'' Server (http://socr.googlecode.com/)].
* [http://www.escholarship.org/uc/socr University of California eScholarship (http://www.escholarship.org/uc/socr)] and [http://escholarship.org/uc/stats/unit/socr.html SOCR eScholar Pubs].

===SOCR Mirrors===
* [http://psyresearch.org/statistics/socr/ PsyResearch SOCR Mirror (http://psyresearch.org/statistics/socr/)].
* [http://www.amstat.org/publications/jse/socr/ AmStat SOCR Mirror (http://www.amstat.org/publications/jse/socr/)].

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SOCR News

2013-08-08T21:51:52Z

IvoDinov: /* 2014 */

== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [http://www.socr.ucla.edu/feed.rss RSS Feeds]==

==2014==
* Jan 14-17, 2014: [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_intro Joint Mathematics Meeting (AMS/IMS/MAA)]
** January 16, 2014: Ivo Dinov is organizing a [[SOCR_Events_JMM_BigData_Jan2014 |special American Mathematical Society (AMS) session on Big Data: Mathematical and Statistical Modeling, Tools, Services, and Training]], at the [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html2014 Joint Mathematics Meeting (JMM), Baltimore, MD, USA].
** January 14, 2014: Ivo Dinov (SOCR), Dennis Pearl (MBI/OSU) and Kyle Siegrist (VLPS/UAH) are organizing a continuing education workshop: [http://www.distributome.org/meetings/JMM_2014/ 2014 Distributome JMM Workshop: Interactive Probability Instruction], [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_tuesday.html Stadium Ballroom 4, 2nd Floor], [http://www.marriott.com/hotels/travel/bwiih-baltimore-marriott-inner-harbor-at-camden-yards Marriott Inner Harbor].

==2013==
* June 26, 2013: Ivo Dinov is speaking about "Analytical Pipeline Workflows, Resource Interoperability and Processing of “Big” Genomics Data" at a session on [http://www.clinicalgenomeconference.com/TCGC_content.aspx?id=123666&libID=123614 The Science of Investigation and Interpretation] at [http://www.clinicalgenomeconference.com/ The Clinical Genome Conference (TCGC)], [http://www.jdvhotels.com/hotels/california/san-francisco-hotels/hotel-kabuki Hotel Kabuki 1625 Post Street, San Francisco, CA 94115].
* June 16, 2013: Ivo Dinov is organizing a [[SOCR_Events_OHBM2013_Workflows|Continuing Education Course entitled Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions]]. This workshop is part of the [http://www.humanbrainmapping.org/OHBM2013/ 2013 Organization for Human Brain Mapping Meeting] in Seattle, Washington. Ivo Dinov is presenting [http://www.humanbrainmapping.org/files/2013MeetingFiles/Sessions/Neuroimaging%20%E2%80%98Big%20Data%E2%80%99%20Challenges%20and%20Computational%20Workflow%20Solutions.pdf The Pipeline Workflow Environment] at this workshop.
* May 20, 2013: Ivo Dinov is organizing a [http://www.loni.ucla.edu/twiki/bin/view/LONI/PL_ComputationalGenomicsWorkshop_2013 Computational Genomics Training Workshop] at UCLA. This workshop will be postponed to a future date, due to unforeseen scheduling conflicts.
* May 15-16, 2013: USCOTS 2013 Workshop: Dennis Pearl (Ohio State), Kyle Siegrist (University of Alabama) and Ivo Dinov (UCLA) are organizing a 2 day workshop [http://www.distributome.org/meetings/USCOTS_2013/ Interactive Probability Instruction], at the [http://www.causeweb.org/uscots/workshops/ USCOTS 2013 meeting]. The organizers will provide continuing education training for using the [http://www.Distributome.org Probability Distributome webapps], classroom use of the [http://www.math.uah.edu/stat Virtual Laboratories in Probability and Statistics], exploratory data analysis using the [http://www.SOCR.ucla.edu Statistics Online Computational Resource].
* April 08, 2013: Ivo Dinov is presenting the [http://www.loni.ucla.edu/twiki/pub/LONI/EpiBioS_Bioinformatics_2013/Dinov_EpiBioS_PipelineWorkflows_2013.pptx Pipeline Workflow Environment (PPTX)] at the [http://www.loni.ucla.edu/twiki/bin/view/LONI/EpiBioS_Bioinformatics_2013 Epilepsy Bioinformatics Workshop at UCLA].
* March 21, 2013: Nicolas Christou and Ivo Dinov, presented the [[SOCR_Events_LAUSD_Mar2013 |SOCR blended mathematics and statistics education resources relative to the California Common Core State Standards, LAUSD]].
* March 4-6, 2013: Ivo Dinov is presenting a paper entitled [http://www.pacificrimneuroimaging.net/wp-content/uploads/2012/11/Dinov_BigDataChallenges_2013.pdf How to Ride the Perfect Neuroimaging-Genetics-Computation Storm? Collision of Peta Bytes of Data, Thousands of Software Tools and Millions of Hardware Devices] at the [http://www.pacificrimneuroimaging.net/ New Horizons in Human Brain Imaging], Turtle Bay Resort, Oahu, Hawaii USA.
* January 23-25, 2013: [http://ccliconference.org/2013-tuesccli-pi-conference/ 2013 AAAS TUES/CCLI conference in Washington, DC]; American Association for the Advancement of Science, AAAS, and the National Science Foundation, NSF, Programs for Course, Curriculum, and Laboratory Improvement, CCLI, and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES.
** Ivo Dinov is [http://ccliconference.org/abstracts/943 presenting the SOCR resource].
** Kyle Siegrist, Dennis Pearl and Ivo Dinov are presenting [http://ccliconference.org/abstracts/1166 the Probability Distributome Project].

==2012==
* November 27, 2012: Ivo Dinov (SOCR/UCLA), Dennis Pearl (MBI/OSU) and Kyle Siegrist (UAH/VLPS) are presenting a [http://www.distributome.org/meetings/CAUSEWeb_Webinar2012/ CAUSEWeb Webinar: Hands-on Distributome Activities for Teaching Probability] (Tuesday, 2:30 PM Eastern Time).
* October 20-21, 2012: [http://www.google-melange.com/gsoc/homepage/google/gsoc2012 Google 2012 Summer of Code (GSoC'12)] [http://gsoc-wiki.osuosl.org/index.php/2012 Mentor Summit]: Dr. Dinov presented the [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR-GSoC'12 projects] and lead 2 working sessions on [https://gsoc-wiki.osuosl.org/index.php/Building,_supporting_and_funding_academic-industry_collaborations_-_ideas,_partners,_challenges_and_prospects Building, supporting and funding academic-industry collaborations - ideas, partners, challenges and prospects] and [http://gsoc-wiki.osuosl.org/index.php/JS_SciCompLib JavaScript Science Computation Library] at this event.
* October 09, 2012: Dr. Ivo Dinov consults on a PBS NOVA/WGBH [http://www.pbs.org/wgbh/nova/body/mapping-the-brain.html Interactive Mapping the Brain Webapp] providing understanding of the relationship between brain anatomy, function and physiology. This resource enables the exploration of complex connections between different brain regions, and showcases the difference between normal and abnormal brain variability.
* August 02, 2012: Ivo Dinov is presenting an invited talk entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=303516 Computational Neuroinformatics: Challenges, Methods & Tools] at the [http://www.amstat.org/meetings/jsm/2012/ 2012 JSM meeting] in San Diego, CA. Session, (207361), [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=207361 Innovations in Biomaging and the Impact of Statistics”, Session #587], Thursday, 8/2/2012, from 8:30 AM - 10:20 AM.
* July 31, 2012: Scott Kamino, Bilal Bhakhrani, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=306019 Bivariate Normal Distribution: A New SOCR Applet] at [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=208039 2012 JSM Meeting in San Diego, CA] (Tue, 7/31/2012, 10:30 AM - 12:20 PM, CC-Room 30C).
* July 13, 2012: Ivo Dinov is giving a lecture entitled [http://www.mntp.pitt.edu/Symposium/Symposium_DataProc_2012.html Multimodal Neuroimaging and Distributed Computing using the Pipeline Environment] at the 2012 [http://www.mntp.pitt.edu/ Multimodal Neuroimaging Training Program (MNTP)] at the University of Pittsburgh.
* May 2012: [http://socr.ucla.edu/htmls/ana/ SOCR Analyses] are utilized as the key statistical computing library part of the [http://pipeline.loni.ucla.edu/ Pipeline Graphical Workflow Environment]. One example is the use of the [[SOCR_EduMaterials_AnalysisActivities_MLR|SOCR Multivariate Linear Regression]] and [[SOCR_EduMaterials_AnalysesCommandLineFDR_Correction|False Discovery Rate (FDR)]] utilities for analyzing multidimensional neuroimaging data (http://ucla.in/Ie80ps).
* April 26, 2012: Ivo Dinov and Nicholas Christou are presenting a special session entitled [[SOCR_Events_NCMT_2012 |Technology-Enhanced Mathematics and Statistics Education]] at the [http://www.nctm.org/conferences/content.aspx?id=29461 2012 National Council of Teachers of Mathematics (NCMT) Meeting] in Philadelphia, Pennsylvania (April 25-28, 2012).
* April 17, 2012: Jack Van Horn, Ivo Dinov, Paul Eggert and Arthur Toga organized a workshop [http://pipeline.loni.ucla.edu/training/bigdata_2012/ Big Data Analysis Using the LONI Pipeline].
* March 2012: SOCR Projects are part of GSoC 2012: [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR is one of the high-profile projects included in the 2012 Google Summer of Code (GSoC)]. As part of this program, SOCR is looking for highly-motivated, technologically-savvy and result-oriented students to work on [[Available_SOCR_Development_Projects|expanding the large suite of SOCR computational libraries, designing and implementing novel open-source HTML5/JavaScript/JQuery webapps and web-resources for improving science education]].
* March 16-17, 2012: Ivo Dinov is organizing a [http://pipeline.loni.ucla.edu/training/cchmc2012/ Pipeline Training Workshop] at the University of Cincinnati and the Cincinnati Children’s Hospital Medical Center (CCHMC), Cincinnati, OH.

==2011==
* September 2011: SOCR Applications in Human Brain Mapping. [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract Human brain mapping investigators use SOCR resources and tools to investigate frontal, temporal, and ventricular dysmorphology in schizophrenia, putamen/pallidum enlargements, medication exposure in early studies, and genetic predisposition for schizophrenia]. This report published in the [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract HBM Journal] reveals the role of specific genetic or environmental risk factors toward altered brain morphology in schizophrenia.
* Sept. 17, 2011: Ivo Dinov is interviewed by [http://www.dailybruin.com/index.php/section/on_the_record Daily Bruin "On The Record"] about [http://www.dailybruin.com/index.php/multimedia/43623 student loans and the rate of increase of the cost of college tuition].
* August 12, 2011: Scott Kamino, Lance Perry and Mat Swatek submitted a [http://www.youtube-nocookie.com/embed/kVhorHV35To video entitled "To Stat, or not to Stat?"] responding to the [http://www.amstat.org/youtube/ ASA contest to promote the practice and profession of statistics].
* August 03, 2011: Dave Zes, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2011/onlineprogram/AbstractDetails.cfm?abstractid=302579 Spatial Statistics and Cartography Using SOCR (Abstract #302579)] in [http://www.amstat.org/meetings/jsm/2011/onlineprogram/MainSearchResults.cfm?SponsorID=206 Session # 524 (Wed, 8/3/2011, 11:20 AM)] at the [http://www.amstat.org/meetings/jsm/2011 Joint Statistical Meeting] in Miami Beach, Florida, July 30–August 4, 2011.
* July 15, 2011: Dr. Dinov was interviewed and quoted in an article in the Wall Street Journal about [http://blogs.wsj.com/numbersguy/happy-square-prime-sandwich-day-1072/ the proliferation of days designated to mark certain numerical properties - Happy Square-Prime Sandwich Day].
* June 24-25, 2011: Ivo Dinov is presenting [http://socr.ucla.edu/Ed/UC_OSI/ SOCR resource utilization in the University of California - Online Statistics Instruction (UC-OSI)] program. [http://www.ucop.edu UCOP] [http://groups.ischool.berkeley.edu/onlineeducation/ OIPP] [http://groups.ischool.berkeley.edu/onlineeducation/project-participants/course-design-conference Meeting, Berkeley, California]. See the video on [http://www.youtube.com/watch?v=O9aed06zCF0&list=PL5AB77EEBD0A8F7F9&index=6 YouTube].
* April 11-14, 2011: [http://www.healthgrid.org/news/index.php?id=31 outGRID workshop, Vilnius, Lithuania]. Ivo Dinov is presenting a paper entitled [http://www.egi.eu/indico/getFile.py/access?contribId=114&sessionId=12&resId=2&materialId=slides&confId=207 Visual Informatics and Computational Genomics using the Graphical Pipeline Environment].
* January 26-28, 2011: Ivo Dinov is [http://ccliconference.org/abstracts/663 presenting the SOCR resource] at the [http://www.ccliconference.com/ 2011 AAAS TUES/CCLI conference in Washington, DC] (American Association for the Advancement of Science, AAAS, and the National Science Foundation (NSF) Programs for Course, Curriculum, and Laboratory Improvement (CCLI) and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES).
* January 07, 2011: [http://distributome.org/ Distributome-An Interactive Web-based Resource for Probability Distributions]: Kyle Siegrist, Ivo Dinov, and Dennis Pearl will present the [http://www.mathaware.org/meetings/national/jmm/2125_program_friday.html State of the Probability Distributome Project], 2011 JMM meeting, NSF Division of Undergraduate Education, Napoleon A1-A3, 3rd Floor, Sheraton, 2:00-4:00PM.

==2010==
* December 04-05, 2010: [http://www.cmc-math.org/activities/north_program.html 2010 CMC-North Annual Asilomar Mathematics Conference]. Ivo Dinov will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* November 18, 2012: Dr. Dinov presented a seminar entitled [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=showevent&ncmd=calmonth&cal=cal2&id=1287690501-25406-1&ncals=&y=2010&m=11&d=18&token=&sb=0&cf=cal&lc=calmonth&swe=1&set=1&sa=0&sort=e,m,t&ws=0&sib=1&de=1&tf=0 Computational Neuroinformatics: Challenges, Methods, & Tools], UCLA [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=calmonth&ncmd=startup&cal=cal2 Computer Science Seminar Series].
* November 05-06, 2010: [http://www.cmc-math.org/activities/south_conference.html 2010 CMC-South Annual Palm Springs Mathematics Conference]. Ivo Dinov and Nicolas Christou will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* September 2010: [http://magazine.amstat.org/blog/2010/09/01/hands-on/ The SOCR MotionCharts Project receives an honorable mention in the 2010 ASA Hands-On Statistics Activity Competition].
* September 2010: In a High Speed Network partnership with K-12 educators, the SOCR Probability and Statistics [[EBook]] is posted on the [http://www.k12hsn.org/calaxy/wikis.php/calaxy/Probability_and_Statistics_EBook K12HSN network and made freely and openly available to the entire K-12 educational community].
* August 13, 2010, [[SOCR_Events_Aug2010 | SOCR AP Statistics Continuing Education Workshop]] at UCLA.
* July 31 - August 05, 2010, [http://www.amstat.org/meetings/jsm/2010/ JSM 2010 Conference], Vancouver, BC, Canada, July 31 – August 5, 2010:
** Juana Sanchez, Nicolas Christou and Ivo Dinov will present [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR CLT Applet and Activity]], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=307049 Abstract #307049], Tue, 8/3/2010, 2:00 PM.
** Nicolas Christou and Ivo Dinov will present [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Enhancing the Teaching of Statistics: Analysis of Spatial Data Using SOCR and R], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Abstract #308613], Wed, 8/4/2010, 8:30 AM.
* July 20-23, 2010 [http://sloanconsortium.org/et4online Sloan Consortium/MERLOT symposium] (Fairmont Hotel in San Jose, CA). Nicolas Christou, Ryan Rosario and Ivo Dinov will present a session entitled [[SOCR_Events_SloanMerlot_2010 | Technology-Enhanced Probability and Statistics Education Using the Statistics Online Computational Resource]].
* June 09, 2010: SOCR V2.6 receives the [http://www.softpedia.com/progClean/Statistics-Online-Computational-Resource-Clean-161967.html Softpedia "100% Free & Clean" award]. This [http://www.socr.ucla.edu/htmls/SOCR_Recognitions.html certifies that all SOCR tools] are free of all forms of malware, including spyware, viruses, trojans and backdoors, and can be used and installed with no concern by any computer user.
* May 14, 2010: Dr. Dinov was interviewed and quoted in an article in the [http://blogs.wsj.com/numbersguy/overblown-notions-about-names-940/ Wall Street Journal about the concept of implicit egotism, or people’s unconscious attraction to things or people that resemble themselves — as manifested by name similarity].
* May 11, 2010: [[SOCR_Events_CAUSE_TL_Spring2010 | CAUSE SOCR Teaching and Learning Webinar]].
* April 19, 2010: [[SOCR_Events_FTO_Obesity_Neuroimaging2010 |The largest neuroimaging study to-date identifies the relations between obesity gene (FTO) and brain tissue loss using the SOCR computational libraries]].
* March 25, 2010: We upgraded the [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR user web-statistics mechanism]. Now we provide anonymous access to dynamic and complete statistics on the web-users of the main [http://www.SOCR.ucla.edu SOCR server]. The new [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR web-statistics architecture] allows anyone to see anytime the locations and types of the last 500 SOCR users. Each user is uniquely counter daily, irrespective of usage-time or number of SOCR resources they used. Other [[SOCR_Servers | SOCR servers]] have separate tracking mechanisms.
* March 17, 2010: [http://www.scientistlive.com/European-Science-News/Medical/Brain_abnormalities_in_children_exposed_to_meth/24237/ Brain abnormalities in children exposed to meth] - a news-brief on a recent [http://www.jneurosci.org/cgi/content/abstract/30/11/3876 article on Prenatal Methamphetamine use], co-authored by Dr. Dinov, is distributed by the National Institutes of Health.
* January 12, 2010: NSF/DUE PI Meeting at the [http://www.ams.org/amsmtgs/2124_intro.html 2010 JMM Meeting in San Francisco, CA]. Dr. Dinov [[SOCR_Events_JMM_Jan2010 |presented the SOCR Resource]].

==2009==
* October 2009: A new major upgrade of [[SOCR_EduMaterials_AnalysesActivities |SOCR Analyses]] is released that fixed the appearance of the tabs on all SOCR analysis applets. The new version only shows the tabs that are appropriate for the specific SOCR Analysis chosen by the user. This upgrade of Analyses resolves this inconsistency and makes the navigation to data-input, variable-mapping and result-interpretation much more intuitive and user-friendly.
* September 2009: A new [http://forums.stat.ucla.edu/socr SOCR forum is introduced]. Users, instructors, students and developers may use this forum to post questions, learn about various SOCR datasets, tools, learning materials, and contribute to the SOCR knowledgebase.
* August 15-23, 2009 [http://www.statssa.gov.za/isi2009/index.aspx SOCR Organized Events at the 2009 International Statistical Institute Meeting]
** August 16, 2009, [[SOCR_Events_ISIW_Aug2009 | SOCR Workshop at 2009 ISI Meeting]].
** August 17, 2009, [[SOCR_Events_ISIS_Aug2009 | A special session entitled ''Interactive, Data-Driven and Technology-Enhanced Approaches for Probability and Statistics Education'']], organized by Ivo Dinov and Nicolas Christou at 2009 ISI Meeting.
* August 10, 2009: The [http://www.dailybruin.com/index.php/article/2009/08/ucla-professors-host-workshop-open-source-projects Daily Bruin published an article about SOCR], summarizing [http://wiki.stat.ucla.edu/socr/uploads/9/93/DailyBruin_UCLA_SOCR_Aug2009.pdf the project scope and interviewing Ivo Dinov and Nicolas Christou].
* August 10-12, 2009, [[SOCR_Events_Aug2009 | SOCR Training & Development Workshop]] at UCLA.
* August 03, 2009, [http://www.amstat.org/meetings/jsm/2009/onlineprogram/index.cfm?fuseaction=activity_details&activityid=164&sessionid=204418 Confidence Intervals using SOCR]. Nicolas Christou and Ivo Dinov are presenting SOCR at the [http://www.amstat.org/meetings/jsm/2009/ 2009 JSM Meeting in Washington, DC].
* June 27, 2009, Nicolas Christou [http://www.causeweb.org/uscots/uscots09/program/posters.pdf presented a poster (page 19)] at the [http://www.causeweb.org/uscots/uscots09/ 2009 USCOTS conference at OSU].
* April 16, 2009, SOCR Sponsored [http://cts.stat.ucla.edu/seminars/ Teaching Statistics Seminar] by [http://www.stat.tamu.edu/~west/ Webster West], 4-5 PM, Math Science 5137.
* January 05-08, 2009: Ivo Dinov will give 2 talks and present a poster at [http://www.ams.org/amsmtgs/2110_program.html 2009 Joint AMS/MAA Meeting in Washington, DC], January 05-08, 2009.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf Interactive, Data-Driven and Technology-Enhanced Approach for Probability and Statistics Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:MAACPE1 Demos and Strategies with Technology that Enhance Teaching and Learning Mathematics], Tuesday, January 06, 2009, 9:20AM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf 1046-E1-26], [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.pdf PDF Slides].
** [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS Statistics Online Computational Resource for Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS MAA Poster Session on Projects Supported by the NSF Division of Undergraduate Education], Tuesday, January 06, 2009, 2 PM, Blue Room and Foyer, Omni Shoreham Hotel.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf Integrated, Multidisciplinary and Technology-Enhanced Science Education: The Next Frontier], at a [http://www.ams.org/amsmtgs/2110_program_wednesday.html#2110:AMSCP28 Mathematics Education session], Wednesday, January 07, 2009, 1:15PM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf 1046-97-25], [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.pdf PDF Slides].

== 2008 ==
* November 17, 2008: [[SOCR_Overview_2008 | SOCR Presentation]] at [http://courses.stat.ucla.edu/index.php?term=08F&course=6637912&lecture=66379120 Statistics 495A] (Fall 2008).
* October 17, 2008: [[SOCR_Events_UCCP2008 | SOCR presentation at the UCCP/UCLA CDI meeting]] at at [http://www.cdi.ucla.edu/ UCLA CDI].
* September 27, 2008: Ivo Dinov is [[SOCR_Events_SMC2008 | presenting the SOCR resources]] at a continuing education event at Santa Monica College.
* September 17, 2008: The complete [[SOCR]] source code, v.2.5, was publicly released via the [http://socr.googlecode.com SOCR Google Code project page]. This new release contains the latest version of the [[SOCR]] libraries and all additional resources needed to revise, compile, package and deploy the entire [[SOCR]] resource on the Internet.
* August 14-15, 2008: Ivo Dinov is [[SOCR_Events_CCLI2008 | presenting the SOCR resource]] at the [http://www.ccliconference.com/ 2008 CCLI AAAS conference in Washington, DC].
* August 9, 2008: Nicolas Christou will present a seminar entitled [http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09#1090 Law of Large Numbers: The Theory, Applications and Technology-based Education], at the [http://mic08.merlot.org/program 2008 MERLOT International Conference] ([http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09 1:30-2:00 PM in the Conrad A Room]).
* August 2008: SOCR is releasing a new [http://www.esurveyspro.com/Survey.aspx?id=79ba4c38-b7d0-4530-aa00-12fdd32b6609 electronic polling survey to solicit open and anonymous community feedback on existing SOCR resources and recommendations for development of future SOCR materials and tools].
* August 2008, [http://www.amstat.org/meetings/jsm/2008 2009 Joint Statistics Meeting]
** Thu, 8/7/08, 10:30 AM - 12:20, Nicolas Christou is Chairing a session entitled [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=519&sessionid=203496 The Internet, Telecommunications, and Migration]
** Wed, 8/06/08, 2:00 PM - 3:50 PM, Nicolas Christou and Ivo Dinov are presenting [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=301649 Applications of Statistics in Finance Using the Statistics Online Computational Resource (SOCR)] in a special session on [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=451&sessionid=203500 Portfolio Analysis, Exchange Rates, Microstructure, and GARCH Models]
* July 29, 2008: Ivo Dinov will give a hands-on demonstration entitled [[SOCR_Events_July2008 | Using SOCR to Motivate Simulation Experiments in Middle and High School]] at the [http://censusatschool-california.stat.ucla.edu/ Second CensusAtSchool International Workshop], [http://censusatschool-california.stat.ucla.edu/ 3:15-4:00 PM, CCLIC Lab].
* July 07, 2008: [http://www.math.ucla.edu/~lvese Luminita Vese] and [http://www.stat.ucla.edu/~dinov Ivo Dinov] are co-organizing a [http://www.siam.org/meetings/is08/ SIAM Imaging Science] session on [http://meetings.siam.org/program.cfm?CONFCODE=IS08 Computational Science and Biology: The Challenges, Data, Methods and Tools] (MS4), [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6978 Part I] and [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6979 Part II].
* June 20, 2008: Nicolas Christou will present a seminar entitled [http://trc.ucdavis.edu/uc21st/concurrent.html Web-based, Data-driven Probability and Statistics Education], at the [http://trc.ucdavis.edu/uc21st/ UC21st Century - Teaching, Learning and Technology: Past, Present and Future] Conference ([http://trc.ucdavis.edu/uc21st/schedule.html 11:45AM - 12:30PM]). Video ([http://uocatdavis.wmod.llnwd.net/a2636/e1/TLTC/TLTC_Nicholas_Christou.wmv WMP], [http://webcast.ucdavis.edu/TLTC/ FLASH]) and [http://trc.ucdavis.edu/uc21st/proceedings/christou_dinov_uc21st.ppt PPT slides] ara available online.
* June 05, 2008: [[SOCR_Events_EOY2008 | SOCR End-of-Year Event]].
* [http://cts.stat.ucla.edu/seminars 2008 SOCR/CTS '''Seminars''']:
** Thursday May 29: [http://www.stat.berkeley.edu/~stark/ Phil Stark], [http://www.stat.berkeley.edu/ Department of Statistics, UC Berkeley], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, May 15: [http://www.stat.ucla.edu/~esfandia Mahtash Esfandiari] and Hai Nguyen, Dept. of Statisitics, UCLA
** Thursday, May 1: [http://www.stat.osu.edu/~dkp/ Dennis Pearl], [http://www.stat.osu.edu/ Dept. of Statistics, The Ohio State University]. "The Statistical Buffet" course redesign at OSU, [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, April 24: [http://mathequity.terc.edu/gw/html/Andeepage.html Andee Rubin], [http://www.terc.edu/ TERC], [http://cts.stat.ucla.edu/seminars/rubin.html Software as a Learning Context: the Case of TinkerPlots and Statistical Reasoning], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday April 10: [http://www.maths.qut.edu.au/profiles/macgillivray/ Helen MacGillvray], Queensland University of Technology, Australia, [http://cts.stat.ucla.edu/seminars/macgillvray.html Roles of Assessment in Learning of Statistics and Mathematics], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
* May 19, 2008: Dr. [http://www.stat.ucla.edu/~nchristo Nicolas Christou] will be awarded the prestigious [http://www.oid.ucla.edu/edtech/bpcaward Brian P. Copenhaver Award for Innovation in Teaching with Technology]. [[SOCR_Awards_Christou_BC2008 | More information about this event and Nicolas' contributions is available here]]. Nicolas Christou [http://www.oid.ucla.edu/edtech/bpcaward/2008-video-christou (video-stream) Interview] and [http://www.today.ucla.edu/campus/080520_online_stats-aid/ UCLA Today] article.
* May 05, 2008: Ivo Dinov will give a [http://www.amstat.org ASA]/[http://www.amstat.org/education/gaise/ GAISE] [[SOCR_Events_May2008 | Webinar for middle school teachers in various science and quantitative disciplines]].
* January 17-19, 2008, [http://www.hicstatistics.org/program_stats.htm 2008 Hawaii International Conference on Statistics, Mathematics and Related Fields], Honolulu, Hawaii:
** Nicolas Christou and Ivo Dinov will present [http://www.hicstatistics.org/STATS2008.pdf Statistics Online Computational Resource for Education: www.socr.ucla.edu];
** Priscilla Chui, Nicolas Christou and Ivo Dinov will present a talk on [http://www.hicstatistics.org/STATS2008.pdf Numbers and Sense].
* January 6-9, 2008: [http://www.ams.org/amsmtgs/2109_program.html Joint Mathematics Meetings (AMS/MAA), San Diego, CA].
** Annie Che, Nicolas Christou, Jenny Cui and Ivo Dinov will present a poster entitled [http://www.ams.org/amsmtgs/2109_program_monday.html SOCR Analyses: a free Internet-based Statistical Analysis Toolkit], on 01/07/08, 2-4 PM, as part of the [http://www.ams.org/amsmtgs/2109_program_monday.html NSF Division of Undergraduate Education] session.
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-P1-707) [http://www.ams.org/amsmtgs/2109_program_wednesday.html#2109:MAACPP2 Interactive Web-Based Probability Distribution Mathlets: www.SOCR.ucla.edu] at the [http://www.ams.org/amsmtgs/2109_abstracts/1035-p1-707.pdf MAA Session Mathlets and Web Resources for Mathematics and Statistics Education], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 1:20 PM, Wednesday Jan. 9, 2008].
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-62-1789) [http://www.ams.org/amsmtgs/2109_abstracts/1035-62-1789.pdf Generating Functions: Web-based SOCR Applets and Computational Library Interfaces], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 3:45 PM on Jan 09, 2008].

== 2007 ==
* Dec. 19. 2007, SOCR was added as a [http://apps.facebook.com/socrapp/ Facebook Application] and made available as a tool/plug-in to all FaceBook Users. To add the SOCR App to your Facebook page follow these steps:
** [http://www.facebook.com Login your Facebook account (or create one)]
** [http://apps.facebook.com/socrapp Visit the SOCR App home page]
** [http://www.facebook.com/apps/application.php?api_key=f7ba27416638bfa874514da430932a04 Add the SOCR App to your Applications by selecting '''add this application button''']
* Dec. 07, 2007, Dr. Dinov was interviewed and quoted in [http://wiki.stat.ucla.edu/socr/uploads/f/f9/WSJ_12_07_2007.pdf An article] in the [http://online.wsj.com/article/SB119698695198016514.html Wall Street Journal] about a paper by Leif Nelson (NYU) and Joseph Simmons (Yale) entitled [http://papers.ssrn.com/sol3/papers.cfm?abstract_id=946249 Moniker Maladies: When Names Sabotage Success]. In this article the authors present experimental designs and data to support hypotheses that ''unconscious behavior can insidiously undermine conscious pursuits''.
* Sept. 24, 2007: The [http://www.NSF.gov National Science Foundation (NSF)] extended the funding for the UCLA [[SOCR | Statistics Online Computational Resource (SOCR)]] for another 4 years (2007-2011). This is a great accomplishment for the [http://socr.ucla.edu/htmls/SOCR_Team.html SOCR team] and recognition of the SOCR Resource achievements since 2002. In the next 4 years, SOCR will design, test, validate, and disseminate 1) tools (applets, demos, GUI interfaces), 2) educational materials (activities, class notes, tutorials), and 3) resources (Statistics Online Computational Resource Wiki, consulting, workshops, etc.) More information is available [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0716055 online].
* Aug. 22-29, 2007: SOCR [http://wiki.stat.ucla.edu/socr/uploads/c/c4/SOCR_Abstract_Lisbon_ISI2007.pdf sampling and simulation resources] are going to be presented as an invited talk (Nicolas Christou) at the 2007 [http://www.isi2007.com.pt International Statistics Institute meeting (ISI)], Lisbon, Portugal, ([http://wiki.stat.ucla.edu/socr/uploads/7/7b/Christou_Dinov_Sanchez_ISI2007.pdf PDF Slides])
* Aug. 08-10, 2007: Nicolas Christou is invited to present the [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR Central Limit Theorem Applet and hands-on activity]] at the [http://mic07.merlot.org/program/index.php?sort=date&date=2007-08-09#904 2007 Multimedia Educational Resource for Learning and Online Teaching Conference], [http://conference.merlot.org/2007/ MERLOT], New Orleans, LA. ([http://wiki.stat.ucla.edu/socr/uploads/2/21/Christou_MERLOT_CLT_2007.pdf Talk PDF], [http://conference.merlot.org/2007/Thursday/merlot_clt_2007.ppt Talk PPT])
* Aug. 06-08, 2007: [[SOCR_Events_Aug2007 | SOCR/CAUSE Workshop]] at UCLA
* Aug. 01, 2007: [http://www.amstat.org/meetings/jsm/2007/ JSM] - Nicolas Christou will present [http://www.amstat.org/meetings/jsm/2007/onlineprogram/index.cfm?fuseaction=activity_details&activityid=465&sessionid=202134 Enhancing the Teaching of Statistics with Technology Using the Statistics Online Computational Resource (SOCR)] in Session 466, at 2:00 PM at the Joint Statistical Meetings in Salt Lake City, Utah, July 29-August 2, 2007 ([http://wiki.stat.ucla.edu/socr/uploads/5/52/Christou_Talk_JSM_Aug2007.pdf Abstract #309845], PDF).
* June 01 and June 08, 2007 (4PM): [http://www.socr.ucla.edu/docs/SOCR_talks_060107.html The State of the Statistics Online Computational Resources], Ivo Dinov will present at the [http://cts.stat.ucla.edu/seminars/ UCLA Statistics Teaching Seminar].
* May 21-22, 2007, [http://pages.stern.nyu.edu/~gsimon/ Gary Simon], [http://pages.stern.nyu.edu/ NYU Stern], will visit SOCR and give a [http://seminars.stat.ucla.edu/ seminar talk] (TBD).
* May 17-19, 2007: SOCR will be presented at an [http://wiki.stat.ucla.edu/socr/index.php/USCOTS_2007_Program_SOCR invited breakout session] of the [http://www.causeweb.org/uscots USCOTS 2007] (Juana Sanchez, Nicolas Christou and Ivo Dinov).
* Mar. 07, 2007. [http://wiki.stat.ucla.edu/socr/uploads/3/3c/TheNumbersGuy_WSJ_03_07_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117338464249431351-0ghR_0Jef5ubo6ZLbYIVoePRxrA_20070408.html?mod=tff_main_tff_top Wall Street Journal] discussing probability estimations quotes Ivo Dinov.
* Feb. 27, 2007. [http://wiki.stat.ucla.edu/socr/uploads/8/88/TheNumbersGuy_WSJ_02_23_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117207018272214963-M0nkHhnjRCR5_SIvOWHlNw2sCeE_20070324.html?mod=tff_main_tff_top Wall Street Journal] quotes the SOCR PI, Dr. Dinov.
* Jan. 08, 2007. [[SOCR]] was included in the [http://www.rsscse.org.uk/news/rssnewseducation.asp Royal Statistical Society News Brief]
* Jan. 05-08, 2007: [[SOCR]] Resource is presented at the [http://www.ams.org/amsmtgs/2098_intro.html Joint AMS/MAA meeting] in New Orleans, LA.
** Annie Che will present the [http://www.ams.org/amsmtgs/2098_progfull.html SOCR Analyses], Saturday January 6, 2007, 2:00 PM
** Ivo Dinov will give a talk on [http://www.ams.org/amsmtgs/2098_abstracts/1023-62-1.pdf SOCR Utilization and Assessment], Monday January 8, 2007, 2:45 PM, [http://www.ams.org/amsmtgs/2098_program_monday.html#2098:AMSCP28 AMS Session on Probability and Statistics]

== 2006 ==
* Ivo Dinov presented two talks at the 2006 American Medical Informatics Association ([http://www.amia.org AMIA]) [http://www.amia.org/meetings/f06/ Annual Meeting, Washington, DC]
** [http://www.amia.org/meetings/f06/showdoc.asp?DID=401 Biomedical Imaging Ontologies: Design Principles Enabling Interoperability for Imaging Applications, Tools, and Data], Nov. 11, 2006
** [http://www.amia.org/meetings/f06/showeve.asp?EID=S14 Seeing Biomedicine: New Opportunities and Research Challenges at the Intersection of Biomedical Imaging and Informatics], Nov. 13, 2006
* Maria Pilar Munoz, Dept. of Statistics, North Carolina State University, visited SOCR and gave a talk on [http://seminars.stat.ucla.edu/ ''Formal Assessment of a Web-based Tool Designed to Improve Student Performance in Statistics''], Tuesday, November 21, 2006, 3-4 pm; 6627 Math Sciences Bldg. Seminar#: 297.
* Juana Sanchez presented [http://www.socr.ucla.edu/docs/Sanchez_SOCR_JSM_2006.pdf SOCR Usage and Validation] at the [http://www.amstat.org/meetings/jsm/2006/onlineprogram/index.cfm?fuseaction=activity_details&activityid=148&sessionid=201662 Section on Statistical Education] of the [http://www.amstat.org/meetings/jsm/2006 Joint Statistics Meeting], August 2006, Seattle, WA.
* Juana Sanchez presented various SOCR Activities at the [http://www.maths.otago.ac.nz/icots7 ICOTS7], July 2006.
* Nicolas Christou gave a SOCR Colloquium Talk at the department of [http://www.mas.ucy.ac.cy/ Mathematics & Statistics, University of Cyprus], June 2006.
* [http://www.loni.ucla.edu/CCB/training.aspx?id=2912 2006 SIAM Symposia on Brain Segmentation], May 15-17, 2006 in Minneapolis, Minnesota, USA. Ivo Dinov organized a symposium at the [http://www.siam.org/meetings/is06 2006 SIAM Conference on Imaging Science] entitled ''Mathematical Methods and Tools for Volumetric Brain Segmentation''.
* Ivo Dinov presented the SOCR Resource at the [http://www.ams.org/amsmtgs/2095_intro.html Joint AMS/MAA joint Meeting], San Antonio, TX, January 2006

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_News}}

SOCR News

2013-08-08T21:50:36Z

IvoDinov: /* 2014 */

== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [http://www.socr.ucla.edu/feed.rss RSS Feeds]==

==2014==
* Jan 14-17, 2014: [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_intro Joint Mathematics Meeting (AMS/IMS/MAA)]
** January 16, 2014: Ivo Dinov is organizing a [[SOCR_Events_JMM_BigData_Jan2014 |special American Mathematical Society (AMS) session on Big Data: Mathematical and Statistical Modeling, Tools, Services, and Training]], at the [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html2014 Joint Mathematics Meeting (JMM), Baltimore, MD, USA].
** January 14, 2014: Ivo Dinov (SOCR), Dennis Pearl (MBI/OSU) and Kyle Siegrist (VLPS/UAH) are organizing a continuing education workshop: [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_tuesday.html 2014 Distributome JMM Workshop: Interactive Probability Instruction], [http://www.marriott.com/hotels/travel/bwiih-baltimore-marriott-inner-harbor-at-camden-yards/ Stadium Ballroom 4, 2nd Floor, Marriott Inner Harbor].

==2013==
* June 26, 2013: Ivo Dinov is speaking about "Analytical Pipeline Workflows, Resource Interoperability and Processing of “Big” Genomics Data" at a session on [http://www.clinicalgenomeconference.com/TCGC_content.aspx?id=123666&libID=123614 The Science of Investigation and Interpretation] at [http://www.clinicalgenomeconference.com/ The Clinical Genome Conference (TCGC)], [http://www.jdvhotels.com/hotels/california/san-francisco-hotels/hotel-kabuki Hotel Kabuki 1625 Post Street, San Francisco, CA 94115].
* June 16, 2013: Ivo Dinov is organizing a [[SOCR_Events_OHBM2013_Workflows|Continuing Education Course entitled Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions]]. This workshop is part of the [http://www.humanbrainmapping.org/OHBM2013/ 2013 Organization for Human Brain Mapping Meeting] in Seattle, Washington. Ivo Dinov is presenting [http://www.humanbrainmapping.org/files/2013MeetingFiles/Sessions/Neuroimaging%20%E2%80%98Big%20Data%E2%80%99%20Challenges%20and%20Computational%20Workflow%20Solutions.pdf The Pipeline Workflow Environment] at this workshop.
* May 20, 2013: Ivo Dinov is organizing a [http://www.loni.ucla.edu/twiki/bin/view/LONI/PL_ComputationalGenomicsWorkshop_2013 Computational Genomics Training Workshop] at UCLA. This workshop will be postponed to a future date, due to unforeseen scheduling conflicts.
* May 15-16, 2013: USCOTS 2013 Workshop: Dennis Pearl (Ohio State), Kyle Siegrist (University of Alabama) and Ivo Dinov (UCLA) are organizing a 2 day workshop [http://www.distributome.org/meetings/USCOTS_2013/ Interactive Probability Instruction], at the [http://www.causeweb.org/uscots/workshops/ USCOTS 2013 meeting]. The organizers will provide continuing education training for using the [http://www.Distributome.org Probability Distributome webapps], classroom use of the [http://www.math.uah.edu/stat Virtual Laboratories in Probability and Statistics], exploratory data analysis using the [http://www.SOCR.ucla.edu Statistics Online Computational Resource].
* April 08, 2013: Ivo Dinov is presenting the [http://www.loni.ucla.edu/twiki/pub/LONI/EpiBioS_Bioinformatics_2013/Dinov_EpiBioS_PipelineWorkflows_2013.pptx Pipeline Workflow Environment (PPTX)] at the [http://www.loni.ucla.edu/twiki/bin/view/LONI/EpiBioS_Bioinformatics_2013 Epilepsy Bioinformatics Workshop at UCLA].
* March 21, 2013: Nicolas Christou and Ivo Dinov, presented the [[SOCR_Events_LAUSD_Mar2013 |SOCR blended mathematics and statistics education resources relative to the California Common Core State Standards, LAUSD]].
* March 4-6, 2013: Ivo Dinov is presenting a paper entitled [http://www.pacificrimneuroimaging.net/wp-content/uploads/2012/11/Dinov_BigDataChallenges_2013.pdf How to Ride the Perfect Neuroimaging-Genetics-Computation Storm? Collision of Peta Bytes of Data, Thousands of Software Tools and Millions of Hardware Devices] at the [http://www.pacificrimneuroimaging.net/ New Horizons in Human Brain Imaging], Turtle Bay Resort, Oahu, Hawaii USA.
* January 23-25, 2013: [http://ccliconference.org/2013-tuesccli-pi-conference/ 2013 AAAS TUES/CCLI conference in Washington, DC]; American Association for the Advancement of Science, AAAS, and the National Science Foundation, NSF, Programs for Course, Curriculum, and Laboratory Improvement, CCLI, and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES.
** Ivo Dinov is [http://ccliconference.org/abstracts/943 presenting the SOCR resource].
** Kyle Siegrist, Dennis Pearl and Ivo Dinov are presenting [http://ccliconference.org/abstracts/1166 the Probability Distributome Project].

==2012==
* November 27, 2012: Ivo Dinov (SOCR/UCLA), Dennis Pearl (MBI/OSU) and Kyle Siegrist (UAH/VLPS) are presenting a [http://www.distributome.org/meetings/CAUSEWeb_Webinar2012/ CAUSEWeb Webinar: Hands-on Distributome Activities for Teaching Probability] (Tuesday, 2:30 PM Eastern Time).
* October 20-21, 2012: [http://www.google-melange.com/gsoc/homepage/google/gsoc2012 Google 2012 Summer of Code (GSoC'12)] [http://gsoc-wiki.osuosl.org/index.php/2012 Mentor Summit]: Dr. Dinov presented the [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR-GSoC'12 projects] and lead 2 working sessions on [https://gsoc-wiki.osuosl.org/index.php/Building,_supporting_and_funding_academic-industry_collaborations_-_ideas,_partners,_challenges_and_prospects Building, supporting and funding academic-industry collaborations - ideas, partners, challenges and prospects] and [http://gsoc-wiki.osuosl.org/index.php/JS_SciCompLib JavaScript Science Computation Library] at this event.
* October 09, 2012: Dr. Ivo Dinov consults on a PBS NOVA/WGBH [http://www.pbs.org/wgbh/nova/body/mapping-the-brain.html Interactive Mapping the Brain Webapp] providing understanding of the relationship between brain anatomy, function and physiology. This resource enables the exploration of complex connections between different brain regions, and showcases the difference between normal and abnormal brain variability.
* August 02, 2012: Ivo Dinov is presenting an invited talk entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=303516 Computational Neuroinformatics: Challenges, Methods & Tools] at the [http://www.amstat.org/meetings/jsm/2012/ 2012 JSM meeting] in San Diego, CA. Session, (207361), [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=207361 Innovations in Biomaging and the Impact of Statistics”, Session #587], Thursday, 8/2/2012, from 8:30 AM - 10:20 AM.
* July 31, 2012: Scott Kamino, Bilal Bhakhrani, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=306019 Bivariate Normal Distribution: A New SOCR Applet] at [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=208039 2012 JSM Meeting in San Diego, CA] (Tue, 7/31/2012, 10:30 AM - 12:20 PM, CC-Room 30C).
* July 13, 2012: Ivo Dinov is giving a lecture entitled [http://www.mntp.pitt.edu/Symposium/Symposium_DataProc_2012.html Multimodal Neuroimaging and Distributed Computing using the Pipeline Environment] at the 2012 [http://www.mntp.pitt.edu/ Multimodal Neuroimaging Training Program (MNTP)] at the University of Pittsburgh.
* May 2012: [http://socr.ucla.edu/htmls/ana/ SOCR Analyses] are utilized as the key statistical computing library part of the [http://pipeline.loni.ucla.edu/ Pipeline Graphical Workflow Environment]. One example is the use of the [[SOCR_EduMaterials_AnalysisActivities_MLR|SOCR Multivariate Linear Regression]] and [[SOCR_EduMaterials_AnalysesCommandLineFDR_Correction|False Discovery Rate (FDR)]] utilities for analyzing multidimensional neuroimaging data (http://ucla.in/Ie80ps).
* April 26, 2012: Ivo Dinov and Nicholas Christou are presenting a special session entitled [[SOCR_Events_NCMT_2012 |Technology-Enhanced Mathematics and Statistics Education]] at the [http://www.nctm.org/conferences/content.aspx?id=29461 2012 National Council of Teachers of Mathematics (NCMT) Meeting] in Philadelphia, Pennsylvania (April 25-28, 2012).
* April 17, 2012: Jack Van Horn, Ivo Dinov, Paul Eggert and Arthur Toga organized a workshop [http://pipeline.loni.ucla.edu/training/bigdata_2012/ Big Data Analysis Using the LONI Pipeline].
* March 2012: SOCR Projects are part of GSoC 2012: [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR is one of the high-profile projects included in the 2012 Google Summer of Code (GSoC)]. As part of this program, SOCR is looking for highly-motivated, technologically-savvy and result-oriented students to work on [[Available_SOCR_Development_Projects|expanding the large suite of SOCR computational libraries, designing and implementing novel open-source HTML5/JavaScript/JQuery webapps and web-resources for improving science education]].
* March 16-17, 2012: Ivo Dinov is organizing a [http://pipeline.loni.ucla.edu/training/cchmc2012/ Pipeline Training Workshop] at the University of Cincinnati and the Cincinnati Children’s Hospital Medical Center (CCHMC), Cincinnati, OH.

==2011==
* September 2011: SOCR Applications in Human Brain Mapping. [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract Human brain mapping investigators use SOCR resources and tools to investigate frontal, temporal, and ventricular dysmorphology in schizophrenia, putamen/pallidum enlargements, medication exposure in early studies, and genetic predisposition for schizophrenia]. This report published in the [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract HBM Journal] reveals the role of specific genetic or environmental risk factors toward altered brain morphology in schizophrenia.
* Sept. 17, 2011: Ivo Dinov is interviewed by [http://www.dailybruin.com/index.php/section/on_the_record Daily Bruin "On The Record"] about [http://www.dailybruin.com/index.php/multimedia/43623 student loans and the rate of increase of the cost of college tuition].
* August 12, 2011: Scott Kamino, Lance Perry and Mat Swatek submitted a [http://www.youtube-nocookie.com/embed/kVhorHV35To video entitled "To Stat, or not to Stat?"] responding to the [http://www.amstat.org/youtube/ ASA contest to promote the practice and profession of statistics].
* August 03, 2011: Dave Zes, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2011/onlineprogram/AbstractDetails.cfm?abstractid=302579 Spatial Statistics and Cartography Using SOCR (Abstract #302579)] in [http://www.amstat.org/meetings/jsm/2011/onlineprogram/MainSearchResults.cfm?SponsorID=206 Session # 524 (Wed, 8/3/2011, 11:20 AM)] at the [http://www.amstat.org/meetings/jsm/2011 Joint Statistical Meeting] in Miami Beach, Florida, July 30–August 4, 2011.
* July 15, 2011: Dr. Dinov was interviewed and quoted in an article in the Wall Street Journal about [http://blogs.wsj.com/numbersguy/happy-square-prime-sandwich-day-1072/ the proliferation of days designated to mark certain numerical properties - Happy Square-Prime Sandwich Day].
* June 24-25, 2011: Ivo Dinov is presenting [http://socr.ucla.edu/Ed/UC_OSI/ SOCR resource utilization in the University of California - Online Statistics Instruction (UC-OSI)] program. [http://www.ucop.edu UCOP] [http://groups.ischool.berkeley.edu/onlineeducation/ OIPP] [http://groups.ischool.berkeley.edu/onlineeducation/project-participants/course-design-conference Meeting, Berkeley, California]. See the video on [http://www.youtube.com/watch?v=O9aed06zCF0&list=PL5AB77EEBD0A8F7F9&index=6 YouTube].
* April 11-14, 2011: [http://www.healthgrid.org/news/index.php?id=31 outGRID workshop, Vilnius, Lithuania]. Ivo Dinov is presenting a paper entitled [http://www.egi.eu/indico/getFile.py/access?contribId=114&sessionId=12&resId=2&materialId=slides&confId=207 Visual Informatics and Computational Genomics using the Graphical Pipeline Environment].
* January 26-28, 2011: Ivo Dinov is [http://ccliconference.org/abstracts/663 presenting the SOCR resource] at the [http://www.ccliconference.com/ 2011 AAAS TUES/CCLI conference in Washington, DC] (American Association for the Advancement of Science, AAAS, and the National Science Foundation (NSF) Programs for Course, Curriculum, and Laboratory Improvement (CCLI) and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES).
* January 07, 2011: [http://distributome.org/ Distributome-An Interactive Web-based Resource for Probability Distributions]: Kyle Siegrist, Ivo Dinov, and Dennis Pearl will present the [http://www.mathaware.org/meetings/national/jmm/2125_program_friday.html State of the Probability Distributome Project], 2011 JMM meeting, NSF Division of Undergraduate Education, Napoleon A1-A3, 3rd Floor, Sheraton, 2:00-4:00PM.

==2010==
* December 04-05, 2010: [http://www.cmc-math.org/activities/north_program.html 2010 CMC-North Annual Asilomar Mathematics Conference]. Ivo Dinov will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* November 18, 2012: Dr. Dinov presented a seminar entitled [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=showevent&ncmd=calmonth&cal=cal2&id=1287690501-25406-1&ncals=&y=2010&m=11&d=18&token=&sb=0&cf=cal&lc=calmonth&swe=1&set=1&sa=0&sort=e,m,t&ws=0&sib=1&de=1&tf=0 Computational Neuroinformatics: Challenges, Methods, & Tools], UCLA [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=calmonth&ncmd=startup&cal=cal2 Computer Science Seminar Series].
* November 05-06, 2010: [http://www.cmc-math.org/activities/south_conference.html 2010 CMC-South Annual Palm Springs Mathematics Conference]. Ivo Dinov and Nicolas Christou will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* September 2010: [http://magazine.amstat.org/blog/2010/09/01/hands-on/ The SOCR MotionCharts Project receives an honorable mention in the 2010 ASA Hands-On Statistics Activity Competition].
* September 2010: In a High Speed Network partnership with K-12 educators, the SOCR Probability and Statistics [[EBook]] is posted on the [http://www.k12hsn.org/calaxy/wikis.php/calaxy/Probability_and_Statistics_EBook K12HSN network and made freely and openly available to the entire K-12 educational community].
* August 13, 2010, [[SOCR_Events_Aug2010 | SOCR AP Statistics Continuing Education Workshop]] at UCLA.
* July 31 - August 05, 2010, [http://www.amstat.org/meetings/jsm/2010/ JSM 2010 Conference], Vancouver, BC, Canada, July 31 – August 5, 2010:
** Juana Sanchez, Nicolas Christou and Ivo Dinov will present [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR CLT Applet and Activity]], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=307049 Abstract #307049], Tue, 8/3/2010, 2:00 PM.
** Nicolas Christou and Ivo Dinov will present [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Enhancing the Teaching of Statistics: Analysis of Spatial Data Using SOCR and R], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Abstract #308613], Wed, 8/4/2010, 8:30 AM.
* July 20-23, 2010 [http://sloanconsortium.org/et4online Sloan Consortium/MERLOT symposium] (Fairmont Hotel in San Jose, CA). Nicolas Christou, Ryan Rosario and Ivo Dinov will present a session entitled [[SOCR_Events_SloanMerlot_2010 | Technology-Enhanced Probability and Statistics Education Using the Statistics Online Computational Resource]].
* June 09, 2010: SOCR V2.6 receives the [http://www.softpedia.com/progClean/Statistics-Online-Computational-Resource-Clean-161967.html Softpedia "100% Free & Clean" award]. This [http://www.socr.ucla.edu/htmls/SOCR_Recognitions.html certifies that all SOCR tools] are free of all forms of malware, including spyware, viruses, trojans and backdoors, and can be used and installed with no concern by any computer user.
* May 14, 2010: Dr. Dinov was interviewed and quoted in an article in the [http://blogs.wsj.com/numbersguy/overblown-notions-about-names-940/ Wall Street Journal about the concept of implicit egotism, or people’s unconscious attraction to things or people that resemble themselves — as manifested by name similarity].
* May 11, 2010: [[SOCR_Events_CAUSE_TL_Spring2010 | CAUSE SOCR Teaching and Learning Webinar]].
* April 19, 2010: [[SOCR_Events_FTO_Obesity_Neuroimaging2010 |The largest neuroimaging study to-date identifies the relations between obesity gene (FTO) and brain tissue loss using the SOCR computational libraries]].
* March 25, 2010: We upgraded the [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR user web-statistics mechanism]. Now we provide anonymous access to dynamic and complete statistics on the web-users of the main [http://www.SOCR.ucla.edu SOCR server]. The new [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR web-statistics architecture] allows anyone to see anytime the locations and types of the last 500 SOCR users. Each user is uniquely counter daily, irrespective of usage-time or number of SOCR resources they used. Other [[SOCR_Servers | SOCR servers]] have separate tracking mechanisms.
* March 17, 2010: [http://www.scientistlive.com/European-Science-News/Medical/Brain_abnormalities_in_children_exposed_to_meth/24237/ Brain abnormalities in children exposed to meth] - a news-brief on a recent [http://www.jneurosci.org/cgi/content/abstract/30/11/3876 article on Prenatal Methamphetamine use], co-authored by Dr. Dinov, is distributed by the National Institutes of Health.
* January 12, 2010: NSF/DUE PI Meeting at the [http://www.ams.org/amsmtgs/2124_intro.html 2010 JMM Meeting in San Francisco, CA]. Dr. Dinov [[SOCR_Events_JMM_Jan2010 |presented the SOCR Resource]].

==2009==
* October 2009: A new major upgrade of [[SOCR_EduMaterials_AnalysesActivities |SOCR Analyses]] is released that fixed the appearance of the tabs on all SOCR analysis applets. The new version only shows the tabs that are appropriate for the specific SOCR Analysis chosen by the user. This upgrade of Analyses resolves this inconsistency and makes the navigation to data-input, variable-mapping and result-interpretation much more intuitive and user-friendly.
* September 2009: A new [http://forums.stat.ucla.edu/socr SOCR forum is introduced]. Users, instructors, students and developers may use this forum to post questions, learn about various SOCR datasets, tools, learning materials, and contribute to the SOCR knowledgebase.
* August 15-23, 2009 [http://www.statssa.gov.za/isi2009/index.aspx SOCR Organized Events at the 2009 International Statistical Institute Meeting]
** August 16, 2009, [[SOCR_Events_ISIW_Aug2009 | SOCR Workshop at 2009 ISI Meeting]].
** August 17, 2009, [[SOCR_Events_ISIS_Aug2009 | A special session entitled ''Interactive, Data-Driven and Technology-Enhanced Approaches for Probability and Statistics Education'']], organized by Ivo Dinov and Nicolas Christou at 2009 ISI Meeting.
* August 10, 2009: The [http://www.dailybruin.com/index.php/article/2009/08/ucla-professors-host-workshop-open-source-projects Daily Bruin published an article about SOCR], summarizing [http://wiki.stat.ucla.edu/socr/uploads/9/93/DailyBruin_UCLA_SOCR_Aug2009.pdf the project scope and interviewing Ivo Dinov and Nicolas Christou].
* August 10-12, 2009, [[SOCR_Events_Aug2009 | SOCR Training & Development Workshop]] at UCLA.
* August 03, 2009, [http://www.amstat.org/meetings/jsm/2009/onlineprogram/index.cfm?fuseaction=activity_details&activityid=164&sessionid=204418 Confidence Intervals using SOCR]. Nicolas Christou and Ivo Dinov are presenting SOCR at the [http://www.amstat.org/meetings/jsm/2009/ 2009 JSM Meeting in Washington, DC].
* June 27, 2009, Nicolas Christou [http://www.causeweb.org/uscots/uscots09/program/posters.pdf presented a poster (page 19)] at the [http://www.causeweb.org/uscots/uscots09/ 2009 USCOTS conference at OSU].
* April 16, 2009, SOCR Sponsored [http://cts.stat.ucla.edu/seminars/ Teaching Statistics Seminar] by [http://www.stat.tamu.edu/~west/ Webster West], 4-5 PM, Math Science 5137.
* January 05-08, 2009: Ivo Dinov will give 2 talks and present a poster at [http://www.ams.org/amsmtgs/2110_program.html 2009 Joint AMS/MAA Meeting in Washington, DC], January 05-08, 2009.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf Interactive, Data-Driven and Technology-Enhanced Approach for Probability and Statistics Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:MAACPE1 Demos and Strategies with Technology that Enhance Teaching and Learning Mathematics], Tuesday, January 06, 2009, 9:20AM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf 1046-E1-26], [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.pdf PDF Slides].
** [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS Statistics Online Computational Resource for Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS MAA Poster Session on Projects Supported by the NSF Division of Undergraduate Education], Tuesday, January 06, 2009, 2 PM, Blue Room and Foyer, Omni Shoreham Hotel.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf Integrated, Multidisciplinary and Technology-Enhanced Science Education: The Next Frontier], at a [http://www.ams.org/amsmtgs/2110_program_wednesday.html#2110:AMSCP28 Mathematics Education session], Wednesday, January 07, 2009, 1:15PM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf 1046-97-25], [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.pdf PDF Slides].

== 2008 ==
* November 17, 2008: [[SOCR_Overview_2008 | SOCR Presentation]] at [http://courses.stat.ucla.edu/index.php?term=08F&course=6637912&lecture=66379120 Statistics 495A] (Fall 2008).
* October 17, 2008: [[SOCR_Events_UCCP2008 | SOCR presentation at the UCCP/UCLA CDI meeting]] at at [http://www.cdi.ucla.edu/ UCLA CDI].
* September 27, 2008: Ivo Dinov is [[SOCR_Events_SMC2008 | presenting the SOCR resources]] at a continuing education event at Santa Monica College.
* September 17, 2008: The complete [[SOCR]] source code, v.2.5, was publicly released via the [http://socr.googlecode.com SOCR Google Code project page]. This new release contains the latest version of the [[SOCR]] libraries and all additional resources needed to revise, compile, package and deploy the entire [[SOCR]] resource on the Internet.
* August 14-15, 2008: Ivo Dinov is [[SOCR_Events_CCLI2008 | presenting the SOCR resource]] at the [http://www.ccliconference.com/ 2008 CCLI AAAS conference in Washington, DC].
* August 9, 2008: Nicolas Christou will present a seminar entitled [http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09#1090 Law of Large Numbers: The Theory, Applications and Technology-based Education], at the [http://mic08.merlot.org/program 2008 MERLOT International Conference] ([http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09 1:30-2:00 PM in the Conrad A Room]).
* August 2008: SOCR is releasing a new [http://www.esurveyspro.com/Survey.aspx?id=79ba4c38-b7d0-4530-aa00-12fdd32b6609 electronic polling survey to solicit open and anonymous community feedback on existing SOCR resources and recommendations for development of future SOCR materials and tools].
* August 2008, [http://www.amstat.org/meetings/jsm/2008 2009 Joint Statistics Meeting]
** Thu, 8/7/08, 10:30 AM - 12:20, Nicolas Christou is Chairing a session entitled [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=519&sessionid=203496 The Internet, Telecommunications, and Migration]
** Wed, 8/06/08, 2:00 PM - 3:50 PM, Nicolas Christou and Ivo Dinov are presenting [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=301649 Applications of Statistics in Finance Using the Statistics Online Computational Resource (SOCR)] in a special session on [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=451&sessionid=203500 Portfolio Analysis, Exchange Rates, Microstructure, and GARCH Models]
* July 29, 2008: Ivo Dinov will give a hands-on demonstration entitled [[SOCR_Events_July2008 | Using SOCR to Motivate Simulation Experiments in Middle and High School]] at the [http://censusatschool-california.stat.ucla.edu/ Second CensusAtSchool International Workshop], [http://censusatschool-california.stat.ucla.edu/ 3:15-4:00 PM, CCLIC Lab].
* July 07, 2008: [http://www.math.ucla.edu/~lvese Luminita Vese] and [http://www.stat.ucla.edu/~dinov Ivo Dinov] are co-organizing a [http://www.siam.org/meetings/is08/ SIAM Imaging Science] session on [http://meetings.siam.org/program.cfm?CONFCODE=IS08 Computational Science and Biology: The Challenges, Data, Methods and Tools] (MS4), [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6978 Part I] and [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6979 Part II].
* June 20, 2008: Nicolas Christou will present a seminar entitled [http://trc.ucdavis.edu/uc21st/concurrent.html Web-based, Data-driven Probability and Statistics Education], at the [http://trc.ucdavis.edu/uc21st/ UC21st Century - Teaching, Learning and Technology: Past, Present and Future] Conference ([http://trc.ucdavis.edu/uc21st/schedule.html 11:45AM - 12:30PM]). Video ([http://uocatdavis.wmod.llnwd.net/a2636/e1/TLTC/TLTC_Nicholas_Christou.wmv WMP], [http://webcast.ucdavis.edu/TLTC/ FLASH]) and [http://trc.ucdavis.edu/uc21st/proceedings/christou_dinov_uc21st.ppt PPT slides] ara available online.
* June 05, 2008: [[SOCR_Events_EOY2008 | SOCR End-of-Year Event]].
* [http://cts.stat.ucla.edu/seminars 2008 SOCR/CTS '''Seminars''']:
** Thursday May 29: [http://www.stat.berkeley.edu/~stark/ Phil Stark], [http://www.stat.berkeley.edu/ Department of Statistics, UC Berkeley], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, May 15: [http://www.stat.ucla.edu/~esfandia Mahtash Esfandiari] and Hai Nguyen, Dept. of Statisitics, UCLA
** Thursday, May 1: [http://www.stat.osu.edu/~dkp/ Dennis Pearl], [http://www.stat.osu.edu/ Dept. of Statistics, The Ohio State University]. "The Statistical Buffet" course redesign at OSU, [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, April 24: [http://mathequity.terc.edu/gw/html/Andeepage.html Andee Rubin], [http://www.terc.edu/ TERC], [http://cts.stat.ucla.edu/seminars/rubin.html Software as a Learning Context: the Case of TinkerPlots and Statistical Reasoning], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday April 10: [http://www.maths.qut.edu.au/profiles/macgillivray/ Helen MacGillvray], Queensland University of Technology, Australia, [http://cts.stat.ucla.edu/seminars/macgillvray.html Roles of Assessment in Learning of Statistics and Mathematics], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
* May 19, 2008: Dr. [http://www.stat.ucla.edu/~nchristo Nicolas Christou] will be awarded the prestigious [http://www.oid.ucla.edu/edtech/bpcaward Brian P. Copenhaver Award for Innovation in Teaching with Technology]. [[SOCR_Awards_Christou_BC2008 | More information about this event and Nicolas' contributions is available here]]. Nicolas Christou [http://www.oid.ucla.edu/edtech/bpcaward/2008-video-christou (video-stream) Interview] and [http://www.today.ucla.edu/campus/080520_online_stats-aid/ UCLA Today] article.
* May 05, 2008: Ivo Dinov will give a [http://www.amstat.org ASA]/[http://www.amstat.org/education/gaise/ GAISE] [[SOCR_Events_May2008 | Webinar for middle school teachers in various science and quantitative disciplines]].
* January 17-19, 2008, [http://www.hicstatistics.org/program_stats.htm 2008 Hawaii International Conference on Statistics, Mathematics and Related Fields], Honolulu, Hawaii:
** Nicolas Christou and Ivo Dinov will present [http://www.hicstatistics.org/STATS2008.pdf Statistics Online Computational Resource for Education: www.socr.ucla.edu];
** Priscilla Chui, Nicolas Christou and Ivo Dinov will present a talk on [http://www.hicstatistics.org/STATS2008.pdf Numbers and Sense].
* January 6-9, 2008: [http://www.ams.org/amsmtgs/2109_program.html Joint Mathematics Meetings (AMS/MAA), San Diego, CA].
** Annie Che, Nicolas Christou, Jenny Cui and Ivo Dinov will present a poster entitled [http://www.ams.org/amsmtgs/2109_program_monday.html SOCR Analyses: a free Internet-based Statistical Analysis Toolkit], on 01/07/08, 2-4 PM, as part of the [http://www.ams.org/amsmtgs/2109_program_monday.html NSF Division of Undergraduate Education] session.
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-P1-707) [http://www.ams.org/amsmtgs/2109_program_wednesday.html#2109:MAACPP2 Interactive Web-Based Probability Distribution Mathlets: www.SOCR.ucla.edu] at the [http://www.ams.org/amsmtgs/2109_abstracts/1035-p1-707.pdf MAA Session Mathlets and Web Resources for Mathematics and Statistics Education], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 1:20 PM, Wednesday Jan. 9, 2008].
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-62-1789) [http://www.ams.org/amsmtgs/2109_abstracts/1035-62-1789.pdf Generating Functions: Web-based SOCR Applets and Computational Library Interfaces], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 3:45 PM on Jan 09, 2008].

== 2007 ==
* Dec. 19. 2007, SOCR was added as a [http://apps.facebook.com/socrapp/ Facebook Application] and made available as a tool/plug-in to all FaceBook Users. To add the SOCR App to your Facebook page follow these steps:
** [http://www.facebook.com Login your Facebook account (or create one)]
** [http://apps.facebook.com/socrapp Visit the SOCR App home page]
** [http://www.facebook.com/apps/application.php?api_key=f7ba27416638bfa874514da430932a04 Add the SOCR App to your Applications by selecting '''add this application button''']
* Dec. 07, 2007, Dr. Dinov was interviewed and quoted in [http://wiki.stat.ucla.edu/socr/uploads/f/f9/WSJ_12_07_2007.pdf An article] in the [http://online.wsj.com/article/SB119698695198016514.html Wall Street Journal] about a paper by Leif Nelson (NYU) and Joseph Simmons (Yale) entitled [http://papers.ssrn.com/sol3/papers.cfm?abstract_id=946249 Moniker Maladies: When Names Sabotage Success]. In this article the authors present experimental designs and data to support hypotheses that ''unconscious behavior can insidiously undermine conscious pursuits''.
* Sept. 24, 2007: The [http://www.NSF.gov National Science Foundation (NSF)] extended the funding for the UCLA [[SOCR | Statistics Online Computational Resource (SOCR)]] for another 4 years (2007-2011). This is a great accomplishment for the [http://socr.ucla.edu/htmls/SOCR_Team.html SOCR team] and recognition of the SOCR Resource achievements since 2002. In the next 4 years, SOCR will design, test, validate, and disseminate 1) tools (applets, demos, GUI interfaces), 2) educational materials (activities, class notes, tutorials), and 3) resources (Statistics Online Computational Resource Wiki, consulting, workshops, etc.) More information is available [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0716055 online].
* Aug. 22-29, 2007: SOCR [http://wiki.stat.ucla.edu/socr/uploads/c/c4/SOCR_Abstract_Lisbon_ISI2007.pdf sampling and simulation resources] are going to be presented as an invited talk (Nicolas Christou) at the 2007 [http://www.isi2007.com.pt International Statistics Institute meeting (ISI)], Lisbon, Portugal, ([http://wiki.stat.ucla.edu/socr/uploads/7/7b/Christou_Dinov_Sanchez_ISI2007.pdf PDF Slides])
* Aug. 08-10, 2007: Nicolas Christou is invited to present the [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR Central Limit Theorem Applet and hands-on activity]] at the [http://mic07.merlot.org/program/index.php?sort=date&date=2007-08-09#904 2007 Multimedia Educational Resource for Learning and Online Teaching Conference], [http://conference.merlot.org/2007/ MERLOT], New Orleans, LA. ([http://wiki.stat.ucla.edu/socr/uploads/2/21/Christou_MERLOT_CLT_2007.pdf Talk PDF], [http://conference.merlot.org/2007/Thursday/merlot_clt_2007.ppt Talk PPT])
* Aug. 06-08, 2007: [[SOCR_Events_Aug2007 | SOCR/CAUSE Workshop]] at UCLA
* Aug. 01, 2007: [http://www.amstat.org/meetings/jsm/2007/ JSM] - Nicolas Christou will present [http://www.amstat.org/meetings/jsm/2007/onlineprogram/index.cfm?fuseaction=activity_details&activityid=465&sessionid=202134 Enhancing the Teaching of Statistics with Technology Using the Statistics Online Computational Resource (SOCR)] in Session 466, at 2:00 PM at the Joint Statistical Meetings in Salt Lake City, Utah, July 29-August 2, 2007 ([http://wiki.stat.ucla.edu/socr/uploads/5/52/Christou_Talk_JSM_Aug2007.pdf Abstract #309845], PDF).
* June 01 and June 08, 2007 (4PM): [http://www.socr.ucla.edu/docs/SOCR_talks_060107.html The State of the Statistics Online Computational Resources], Ivo Dinov will present at the [http://cts.stat.ucla.edu/seminars/ UCLA Statistics Teaching Seminar].
* May 21-22, 2007, [http://pages.stern.nyu.edu/~gsimon/ Gary Simon], [http://pages.stern.nyu.edu/ NYU Stern], will visit SOCR and give a [http://seminars.stat.ucla.edu/ seminar talk] (TBD).
* May 17-19, 2007: SOCR will be presented at an [http://wiki.stat.ucla.edu/socr/index.php/USCOTS_2007_Program_SOCR invited breakout session] of the [http://www.causeweb.org/uscots USCOTS 2007] (Juana Sanchez, Nicolas Christou and Ivo Dinov).
* Mar. 07, 2007. [http://wiki.stat.ucla.edu/socr/uploads/3/3c/TheNumbersGuy_WSJ_03_07_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117338464249431351-0ghR_0Jef5ubo6ZLbYIVoePRxrA_20070408.html?mod=tff_main_tff_top Wall Street Journal] discussing probability estimations quotes Ivo Dinov.
* Feb. 27, 2007. [http://wiki.stat.ucla.edu/socr/uploads/8/88/TheNumbersGuy_WSJ_02_23_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117207018272214963-M0nkHhnjRCR5_SIvOWHlNw2sCeE_20070324.html?mod=tff_main_tff_top Wall Street Journal] quotes the SOCR PI, Dr. Dinov.
* Jan. 08, 2007. [[SOCR]] was included in the [http://www.rsscse.org.uk/news/rssnewseducation.asp Royal Statistical Society News Brief]
* Jan. 05-08, 2007: [[SOCR]] Resource is presented at the [http://www.ams.org/amsmtgs/2098_intro.html Joint AMS/MAA meeting] in New Orleans, LA.
** Annie Che will present the [http://www.ams.org/amsmtgs/2098_progfull.html SOCR Analyses], Saturday January 6, 2007, 2:00 PM
** Ivo Dinov will give a talk on [http://www.ams.org/amsmtgs/2098_abstracts/1023-62-1.pdf SOCR Utilization and Assessment], Monday January 8, 2007, 2:45 PM, [http://www.ams.org/amsmtgs/2098_program_monday.html#2098:AMSCP28 AMS Session on Probability and Statistics]

== 2006 ==
* Ivo Dinov presented two talks at the 2006 American Medical Informatics Association ([http://www.amia.org AMIA]) [http://www.amia.org/meetings/f06/ Annual Meeting, Washington, DC]
** [http://www.amia.org/meetings/f06/showdoc.asp?DID=401 Biomedical Imaging Ontologies: Design Principles Enabling Interoperability for Imaging Applications, Tools, and Data], Nov. 11, 2006
** [http://www.amia.org/meetings/f06/showeve.asp?EID=S14 Seeing Biomedicine: New Opportunities and Research Challenges at the Intersection of Biomedical Imaging and Informatics], Nov. 13, 2006
* Maria Pilar Munoz, Dept. of Statistics, North Carolina State University, visited SOCR and gave a talk on [http://seminars.stat.ucla.edu/ ''Formal Assessment of a Web-based Tool Designed to Improve Student Performance in Statistics''], Tuesday, November 21, 2006, 3-4 pm; 6627 Math Sciences Bldg. Seminar#: 297.
* Juana Sanchez presented [http://www.socr.ucla.edu/docs/Sanchez_SOCR_JSM_2006.pdf SOCR Usage and Validation] at the [http://www.amstat.org/meetings/jsm/2006/onlineprogram/index.cfm?fuseaction=activity_details&activityid=148&sessionid=201662 Section on Statistical Education] of the [http://www.amstat.org/meetings/jsm/2006 Joint Statistics Meeting], August 2006, Seattle, WA.
* Juana Sanchez presented various SOCR Activities at the [http://www.maths.otago.ac.nz/icots7 ICOTS7], July 2006.
* Nicolas Christou gave a SOCR Colloquium Talk at the department of [http://www.mas.ucy.ac.cy/ Mathematics & Statistics, University of Cyprus], June 2006.
* [http://www.loni.ucla.edu/CCB/training.aspx?id=2912 2006 SIAM Symposia on Brain Segmentation], May 15-17, 2006 in Minneapolis, Minnesota, USA. Ivo Dinov organized a symposium at the [http://www.siam.org/meetings/is06 2006 SIAM Conference on Imaging Science] entitled ''Mathematical Methods and Tools for Volumetric Brain Segmentation''.
* Ivo Dinov presented the SOCR Resource at the [http://www.ams.org/amsmtgs/2095_intro.html Joint AMS/MAA joint Meeting], San Antonio, TX, January 2006

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_News}}

SOCR News

2013-07-18T00:45:26Z

IvoDinov: /* 2014 */

== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [http://www.socr.ucla.edu/feed.rss RSS Feeds]==

==2014==
* Jan 14-17, 2014: [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_intro Joint Mathematics Meeting (AMS/IMS/MAA)]
** January 16, 2014: Ivo Dinov is organizing a [[SOCR_Events_JMM_BigData_Jan2014 |special American Mathematical Society (AMS) session on Big Data: Mathematical and Statistical Modeling, Tools, Services, and Training]], at the [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html2014 Joint Mathematics Meeting (JMM), Baltimore, MD, USA].
** January 14, 2014: Ivo Dinov (SOCR), Dennis Pearl (MBI/OSU) and Kyle Siegrist (VLPS/UAH) are organizing a continuing education workshop: [http://www.distributome.org/meetings/JMM_2014/ 2014 Distributome JMM Workshop: Interactive Probability Instruction].

==2013==
* June 26, 2013: Ivo Dinov is speaking about "Analytical Pipeline Workflows, Resource Interoperability and Processing of “Big” Genomics Data" at a session on [http://www.clinicalgenomeconference.com/TCGC_content.aspx?id=123666&libID=123614 The Science of Investigation and Interpretation] at [http://www.clinicalgenomeconference.com/ The Clinical Genome Conference (TCGC)], [http://www.jdvhotels.com/hotels/california/san-francisco-hotels/hotel-kabuki Hotel Kabuki 1625 Post Street, San Francisco, CA 94115].
* June 16, 2013: Ivo Dinov is organizing a [[SOCR_Events_OHBM2013_Workflows|Continuing Education Course entitled Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions]]. This workshop is part of the [http://www.humanbrainmapping.org/OHBM2013/ 2013 Organization for Human Brain Mapping Meeting] in Seattle, Washington. Ivo Dinov is presenting [http://www.humanbrainmapping.org/files/2013MeetingFiles/Sessions/Neuroimaging%20%E2%80%98Big%20Data%E2%80%99%20Challenges%20and%20Computational%20Workflow%20Solutions.pdf The Pipeline Workflow Environment] at this workshop.
* May 20, 2013: Ivo Dinov is organizing a [http://www.loni.ucla.edu/twiki/bin/view/LONI/PL_ComputationalGenomicsWorkshop_2013 Computational Genomics Training Workshop] at UCLA. This workshop will be postponed to a future date, due to unforeseen scheduling conflicts.
* May 15-16, 2013: USCOTS 2013 Workshop: Dennis Pearl (Ohio State), Kyle Siegrist (University of Alabama) and Ivo Dinov (UCLA) are organizing a 2 day workshop [http://www.distributome.org/meetings/USCOTS_2013/ Interactive Probability Instruction], at the [http://www.causeweb.org/uscots/workshops/ USCOTS 2013 meeting]. The organizers will provide continuing education training for using the [http://www.Distributome.org Probability Distributome webapps], classroom use of the [http://www.math.uah.edu/stat Virtual Laboratories in Probability and Statistics], exploratory data analysis using the [http://www.SOCR.ucla.edu Statistics Online Computational Resource].
* April 08, 2013: Ivo Dinov is presenting the [http://www.loni.ucla.edu/twiki/pub/LONI/EpiBioS_Bioinformatics_2013/Dinov_EpiBioS_PipelineWorkflows_2013.pptx Pipeline Workflow Environment (PPTX)] at the [http://www.loni.ucla.edu/twiki/bin/view/LONI/EpiBioS_Bioinformatics_2013 Epilepsy Bioinformatics Workshop at UCLA].
* March 21, 2013: Nicolas Christou and Ivo Dinov, presented the [[SOCR_Events_LAUSD_Mar2013 |SOCR blended mathematics and statistics education resources relative to the California Common Core State Standards, LAUSD]].
* March 4-6, 2013: Ivo Dinov is presenting a paper entitled [http://www.pacificrimneuroimaging.net/wp-content/uploads/2012/11/Dinov_BigDataChallenges_2013.pdf How to Ride the Perfect Neuroimaging-Genetics-Computation Storm? Collision of Peta Bytes of Data, Thousands of Software Tools and Millions of Hardware Devices] at the [http://www.pacificrimneuroimaging.net/ New Horizons in Human Brain Imaging], Turtle Bay Resort, Oahu, Hawaii USA.
* January 23-25, 2013: [http://ccliconference.org/2013-tuesccli-pi-conference/ 2013 AAAS TUES/CCLI conference in Washington, DC]; American Association for the Advancement of Science, AAAS, and the National Science Foundation, NSF, Programs for Course, Curriculum, and Laboratory Improvement, CCLI, and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES.
** Ivo Dinov is [http://ccliconference.org/abstracts/943 presenting the SOCR resource].
** Kyle Siegrist, Dennis Pearl and Ivo Dinov are presenting [http://ccliconference.org/abstracts/1166 the Probability Distributome Project].

==2012==
* November 27, 2012: Ivo Dinov (SOCR/UCLA), Dennis Pearl (MBI/OSU) and Kyle Siegrist (UAH/VLPS) are presenting a [http://www.distributome.org/meetings/CAUSEWeb_Webinar2012/ CAUSEWeb Webinar: Hands-on Distributome Activities for Teaching Probability] (Tuesday, 2:30 PM Eastern Time).
* October 20-21, 2012: [http://www.google-melange.com/gsoc/homepage/google/gsoc2012 Google 2012 Summer of Code (GSoC'12)] [http://gsoc-wiki.osuosl.org/index.php/2012 Mentor Summit]: Dr. Dinov presented the [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR-GSoC'12 projects] and lead 2 working sessions on [https://gsoc-wiki.osuosl.org/index.php/Building,_supporting_and_funding_academic-industry_collaborations_-_ideas,_partners,_challenges_and_prospects Building, supporting and funding academic-industry collaborations - ideas, partners, challenges and prospects] and [http://gsoc-wiki.osuosl.org/index.php/JS_SciCompLib JavaScript Science Computation Library] at this event.
* October 09, 2012: Dr. Ivo Dinov consults on a PBS NOVA/WGBH [http://www.pbs.org/wgbh/nova/body/mapping-the-brain.html Interactive Mapping the Brain Webapp] providing understanding of the relationship between brain anatomy, function and physiology. This resource enables the exploration of complex connections between different brain regions, and showcases the difference between normal and abnormal brain variability.
* August 02, 2012: Ivo Dinov is presenting an invited talk entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=303516 Computational Neuroinformatics: Challenges, Methods & Tools] at the [http://www.amstat.org/meetings/jsm/2012/ 2012 JSM meeting] in San Diego, CA. Session, (207361), [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=207361 Innovations in Biomaging and the Impact of Statistics”, Session #587], Thursday, 8/2/2012, from 8:30 AM - 10:20 AM.
* July 31, 2012: Scott Kamino, Bilal Bhakhrani, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=306019 Bivariate Normal Distribution: A New SOCR Applet] at [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=208039 2012 JSM Meeting in San Diego, CA] (Tue, 7/31/2012, 10:30 AM - 12:20 PM, CC-Room 30C).
* July 13, 2012: Ivo Dinov is giving a lecture entitled [http://www.mntp.pitt.edu/Symposium/Symposium_DataProc_2012.html Multimodal Neuroimaging and Distributed Computing using the Pipeline Environment] at the 2012 [http://www.mntp.pitt.edu/ Multimodal Neuroimaging Training Program (MNTP)] at the University of Pittsburgh.
* May 2012: [http://socr.ucla.edu/htmls/ana/ SOCR Analyses] are utilized as the key statistical computing library part of the [http://pipeline.loni.ucla.edu/ Pipeline Graphical Workflow Environment]. One example is the use of the [[SOCR_EduMaterials_AnalysisActivities_MLR|SOCR Multivariate Linear Regression]] and [[SOCR_EduMaterials_AnalysesCommandLineFDR_Correction|False Discovery Rate (FDR)]] utilities for analyzing multidimensional neuroimaging data (http://ucla.in/Ie80ps).
* April 26, 2012: Ivo Dinov and Nicholas Christou are presenting a special session entitled [[SOCR_Events_NCMT_2012 |Technology-Enhanced Mathematics and Statistics Education]] at the [http://www.nctm.org/conferences/content.aspx?id=29461 2012 National Council of Teachers of Mathematics (NCMT) Meeting] in Philadelphia, Pennsylvania (April 25-28, 2012).
* April 17, 2012: Jack Van Horn, Ivo Dinov, Paul Eggert and Arthur Toga organized a workshop [http://pipeline.loni.ucla.edu/training/bigdata_2012/ Big Data Analysis Using the LONI Pipeline].
* March 2012: SOCR Projects are part of GSoC 2012: [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR is one of the high-profile projects included in the 2012 Google Summer of Code (GSoC)]. As part of this program, SOCR is looking for highly-motivated, technologically-savvy and result-oriented students to work on [[Available_SOCR_Development_Projects|expanding the large suite of SOCR computational libraries, designing and implementing novel open-source HTML5/JavaScript/JQuery webapps and web-resources for improving science education]].
* March 16-17, 2012: Ivo Dinov is organizing a [http://pipeline.loni.ucla.edu/training/cchmc2012/ Pipeline Training Workshop] at the University of Cincinnati and the Cincinnati Children’s Hospital Medical Center (CCHMC), Cincinnati, OH.

==2011==
* September 2011: SOCR Applications in Human Brain Mapping. [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract Human brain mapping investigators use SOCR resources and tools to investigate frontal, temporal, and ventricular dysmorphology in schizophrenia, putamen/pallidum enlargements, medication exposure in early studies, and genetic predisposition for schizophrenia]. This report published in the [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract HBM Journal] reveals the role of specific genetic or environmental risk factors toward altered brain morphology in schizophrenia.
* Sept. 17, 2011: Ivo Dinov is interviewed by [http://www.dailybruin.com/index.php/section/on_the_record Daily Bruin "On The Record"] about [http://www.dailybruin.com/index.php/multimedia/43623 student loans and the rate of increase of the cost of college tuition].
* August 12, 2011: Scott Kamino, Lance Perry and Mat Swatek submitted a [http://www.youtube-nocookie.com/embed/kVhorHV35To video entitled "To Stat, or not to Stat?"] responding to the [http://www.amstat.org/youtube/ ASA contest to promote the practice and profession of statistics].
* August 03, 2011: Dave Zes, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2011/onlineprogram/AbstractDetails.cfm?abstractid=302579 Spatial Statistics and Cartography Using SOCR (Abstract #302579)] in [http://www.amstat.org/meetings/jsm/2011/onlineprogram/MainSearchResults.cfm?SponsorID=206 Session # 524 (Wed, 8/3/2011, 11:20 AM)] at the [http://www.amstat.org/meetings/jsm/2011 Joint Statistical Meeting] in Miami Beach, Florida, July 30–August 4, 2011.
* July 15, 2011: Dr. Dinov was interviewed and quoted in an article in the Wall Street Journal about [http://blogs.wsj.com/numbersguy/happy-square-prime-sandwich-day-1072/ the proliferation of days designated to mark certain numerical properties - Happy Square-Prime Sandwich Day].
* June 24-25, 2011: Ivo Dinov is presenting [http://socr.ucla.edu/Ed/UC_OSI/ SOCR resource utilization in the University of California - Online Statistics Instruction (UC-OSI)] program. [http://www.ucop.edu UCOP] [http://groups.ischool.berkeley.edu/onlineeducation/ OIPP] [http://groups.ischool.berkeley.edu/onlineeducation/project-participants/course-design-conference Meeting, Berkeley, California]. See the video on [http://www.youtube.com/watch?v=O9aed06zCF0&list=PL5AB77EEBD0A8F7F9&index=6 YouTube].
* April 11-14, 2011: [http://www.healthgrid.org/news/index.php?id=31 outGRID workshop, Vilnius, Lithuania]. Ivo Dinov is presenting a paper entitled [http://www.egi.eu/indico/getFile.py/access?contribId=114&sessionId=12&resId=2&materialId=slides&confId=207 Visual Informatics and Computational Genomics using the Graphical Pipeline Environment].
* January 26-28, 2011: Ivo Dinov is [http://ccliconference.org/abstracts/663 presenting the SOCR resource] at the [http://www.ccliconference.com/ 2011 AAAS TUES/CCLI conference in Washington, DC] (American Association for the Advancement of Science, AAAS, and the National Science Foundation (NSF) Programs for Course, Curriculum, and Laboratory Improvement (CCLI) and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES).
* January 07, 2011: [http://distributome.org/ Distributome-An Interactive Web-based Resource for Probability Distributions]: Kyle Siegrist, Ivo Dinov, and Dennis Pearl will present the [http://www.mathaware.org/meetings/national/jmm/2125_program_friday.html State of the Probability Distributome Project], 2011 JMM meeting, NSF Division of Undergraduate Education, Napoleon A1-A3, 3rd Floor, Sheraton, 2:00-4:00PM.

==2010==
* December 04-05, 2010: [http://www.cmc-math.org/activities/north_program.html 2010 CMC-North Annual Asilomar Mathematics Conference]. Ivo Dinov will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* November 18, 2012: Dr. Dinov presented a seminar entitled [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=showevent&ncmd=calmonth&cal=cal2&id=1287690501-25406-1&ncals=&y=2010&m=11&d=18&token=&sb=0&cf=cal&lc=calmonth&swe=1&set=1&sa=0&sort=e,m,t&ws=0&sib=1&de=1&tf=0 Computational Neuroinformatics: Challenges, Methods, & Tools], UCLA [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=calmonth&ncmd=startup&cal=cal2 Computer Science Seminar Series].
* November 05-06, 2010: [http://www.cmc-math.org/activities/south_conference.html 2010 CMC-South Annual Palm Springs Mathematics Conference]. Ivo Dinov and Nicolas Christou will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* September 2010: [http://magazine.amstat.org/blog/2010/09/01/hands-on/ The SOCR MotionCharts Project receives an honorable mention in the 2010 ASA Hands-On Statistics Activity Competition].
* September 2010: In a High Speed Network partnership with K-12 educators, the SOCR Probability and Statistics [[EBook]] is posted on the [http://www.k12hsn.org/calaxy/wikis.php/calaxy/Probability_and_Statistics_EBook K12HSN network and made freely and openly available to the entire K-12 educational community].
* August 13, 2010, [[SOCR_Events_Aug2010 | SOCR AP Statistics Continuing Education Workshop]] at UCLA.
* July 31 - August 05, 2010, [http://www.amstat.org/meetings/jsm/2010/ JSM 2010 Conference], Vancouver, BC, Canada, July 31 – August 5, 2010:
** Juana Sanchez, Nicolas Christou and Ivo Dinov will present [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR CLT Applet and Activity]], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=307049 Abstract #307049], Tue, 8/3/2010, 2:00 PM.
** Nicolas Christou and Ivo Dinov will present [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Enhancing the Teaching of Statistics: Analysis of Spatial Data Using SOCR and R], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Abstract #308613], Wed, 8/4/2010, 8:30 AM.
* July 20-23, 2010 [http://sloanconsortium.org/et4online Sloan Consortium/MERLOT symposium] (Fairmont Hotel in San Jose, CA). Nicolas Christou, Ryan Rosario and Ivo Dinov will present a session entitled [[SOCR_Events_SloanMerlot_2010 | Technology-Enhanced Probability and Statistics Education Using the Statistics Online Computational Resource]].
* June 09, 2010: SOCR V2.6 receives the [http://www.softpedia.com/progClean/Statistics-Online-Computational-Resource-Clean-161967.html Softpedia "100% Free & Clean" award]. This [http://www.socr.ucla.edu/htmls/SOCR_Recognitions.html certifies that all SOCR tools] are free of all forms of malware, including spyware, viruses, trojans and backdoors, and can be used and installed with no concern by any computer user.
* May 14, 2010: Dr. Dinov was interviewed and quoted in an article in the [http://blogs.wsj.com/numbersguy/overblown-notions-about-names-940/ Wall Street Journal about the concept of implicit egotism, or people’s unconscious attraction to things or people that resemble themselves — as manifested by name similarity].
* May 11, 2010: [[SOCR_Events_CAUSE_TL_Spring2010 | CAUSE SOCR Teaching and Learning Webinar]].
* April 19, 2010: [[SOCR_Events_FTO_Obesity_Neuroimaging2010 |The largest neuroimaging study to-date identifies the relations between obesity gene (FTO) and brain tissue loss using the SOCR computational libraries]].
* March 25, 2010: We upgraded the [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR user web-statistics mechanism]. Now we provide anonymous access to dynamic and complete statistics on the web-users of the main [http://www.SOCR.ucla.edu SOCR server]. The new [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR web-statistics architecture] allows anyone to see anytime the locations and types of the last 500 SOCR users. Each user is uniquely counter daily, irrespective of usage-time or number of SOCR resources they used. Other [[SOCR_Servers | SOCR servers]] have separate tracking mechanisms.
* March 17, 2010: [http://www.scientistlive.com/European-Science-News/Medical/Brain_abnormalities_in_children_exposed_to_meth/24237/ Brain abnormalities in children exposed to meth] - a news-brief on a recent [http://www.jneurosci.org/cgi/content/abstract/30/11/3876 article on Prenatal Methamphetamine use], co-authored by Dr. Dinov, is distributed by the National Institutes of Health.
* January 12, 2010: NSF/DUE PI Meeting at the [http://www.ams.org/amsmtgs/2124_intro.html 2010 JMM Meeting in San Francisco, CA]. Dr. Dinov [[SOCR_Events_JMM_Jan2010 |presented the SOCR Resource]].

==2009==
* October 2009: A new major upgrade of [[SOCR_EduMaterials_AnalysesActivities |SOCR Analyses]] is released that fixed the appearance of the tabs on all SOCR analysis applets. The new version only shows the tabs that are appropriate for the specific SOCR Analysis chosen by the user. This upgrade of Analyses resolves this inconsistency and makes the navigation to data-input, variable-mapping and result-interpretation much more intuitive and user-friendly.
* September 2009: A new [http://forums.stat.ucla.edu/socr SOCR forum is introduced]. Users, instructors, students and developers may use this forum to post questions, learn about various SOCR datasets, tools, learning materials, and contribute to the SOCR knowledgebase.
* August 15-23, 2009 [http://www.statssa.gov.za/isi2009/index.aspx SOCR Organized Events at the 2009 International Statistical Institute Meeting]
** August 16, 2009, [[SOCR_Events_ISIW_Aug2009 | SOCR Workshop at 2009 ISI Meeting]].
** August 17, 2009, [[SOCR_Events_ISIS_Aug2009 | A special session entitled ''Interactive, Data-Driven and Technology-Enhanced Approaches for Probability and Statistics Education'']], organized by Ivo Dinov and Nicolas Christou at 2009 ISI Meeting.
* August 10, 2009: The [http://www.dailybruin.com/index.php/article/2009/08/ucla-professors-host-workshop-open-source-projects Daily Bruin published an article about SOCR], summarizing [http://wiki.stat.ucla.edu/socr/uploads/9/93/DailyBruin_UCLA_SOCR_Aug2009.pdf the project scope and interviewing Ivo Dinov and Nicolas Christou].
* August 10-12, 2009, [[SOCR_Events_Aug2009 | SOCR Training & Development Workshop]] at UCLA.
* August 03, 2009, [http://www.amstat.org/meetings/jsm/2009/onlineprogram/index.cfm?fuseaction=activity_details&activityid=164&sessionid=204418 Confidence Intervals using SOCR]. Nicolas Christou and Ivo Dinov are presenting SOCR at the [http://www.amstat.org/meetings/jsm/2009/ 2009 JSM Meeting in Washington, DC].
* June 27, 2009, Nicolas Christou [http://www.causeweb.org/uscots/uscots09/program/posters.pdf presented a poster (page 19)] at the [http://www.causeweb.org/uscots/uscots09/ 2009 USCOTS conference at OSU].
* April 16, 2009, SOCR Sponsored [http://cts.stat.ucla.edu/seminars/ Teaching Statistics Seminar] by [http://www.stat.tamu.edu/~west/ Webster West], 4-5 PM, Math Science 5137.
* January 05-08, 2009: Ivo Dinov will give 2 talks and present a poster at [http://www.ams.org/amsmtgs/2110_program.html 2009 Joint AMS/MAA Meeting in Washington, DC], January 05-08, 2009.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf Interactive, Data-Driven and Technology-Enhanced Approach for Probability and Statistics Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:MAACPE1 Demos and Strategies with Technology that Enhance Teaching and Learning Mathematics], Tuesday, January 06, 2009, 9:20AM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf 1046-E1-26], [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.pdf PDF Slides].
** [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS Statistics Online Computational Resource for Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS MAA Poster Session on Projects Supported by the NSF Division of Undergraduate Education], Tuesday, January 06, 2009, 2 PM, Blue Room and Foyer, Omni Shoreham Hotel.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf Integrated, Multidisciplinary and Technology-Enhanced Science Education: The Next Frontier], at a [http://www.ams.org/amsmtgs/2110_program_wednesday.html#2110:AMSCP28 Mathematics Education session], Wednesday, January 07, 2009, 1:15PM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf 1046-97-25], [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.pdf PDF Slides].

== 2008 ==
* November 17, 2008: [[SOCR_Overview_2008 | SOCR Presentation]] at [http://courses.stat.ucla.edu/index.php?term=08F&course=6637912&lecture=66379120 Statistics 495A] (Fall 2008).
* October 17, 2008: [[SOCR_Events_UCCP2008 | SOCR presentation at the UCCP/UCLA CDI meeting]] at at [http://www.cdi.ucla.edu/ UCLA CDI].
* September 27, 2008: Ivo Dinov is [[SOCR_Events_SMC2008 | presenting the SOCR resources]] at a continuing education event at Santa Monica College.
* September 17, 2008: The complete [[SOCR]] source code, v.2.5, was publicly released via the [http://socr.googlecode.com SOCR Google Code project page]. This new release contains the latest version of the [[SOCR]] libraries and all additional resources needed to revise, compile, package and deploy the entire [[SOCR]] resource on the Internet.
* August 14-15, 2008: Ivo Dinov is [[SOCR_Events_CCLI2008 | presenting the SOCR resource]] at the [http://www.ccliconference.com/ 2008 CCLI AAAS conference in Washington, DC].
* August 9, 2008: Nicolas Christou will present a seminar entitled [http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09#1090 Law of Large Numbers: The Theory, Applications and Technology-based Education], at the [http://mic08.merlot.org/program 2008 MERLOT International Conference] ([http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09 1:30-2:00 PM in the Conrad A Room]).
* August 2008: SOCR is releasing a new [http://www.esurveyspro.com/Survey.aspx?id=79ba4c38-b7d0-4530-aa00-12fdd32b6609 electronic polling survey to solicit open and anonymous community feedback on existing SOCR resources and recommendations for development of future SOCR materials and tools].
* August 2008, [http://www.amstat.org/meetings/jsm/2008 2009 Joint Statistics Meeting]
** Thu, 8/7/08, 10:30 AM - 12:20, Nicolas Christou is Chairing a session entitled [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=519&sessionid=203496 The Internet, Telecommunications, and Migration]
** Wed, 8/06/08, 2:00 PM - 3:50 PM, Nicolas Christou and Ivo Dinov are presenting [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=301649 Applications of Statistics in Finance Using the Statistics Online Computational Resource (SOCR)] in a special session on [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=451&sessionid=203500 Portfolio Analysis, Exchange Rates, Microstructure, and GARCH Models]
* July 29, 2008: Ivo Dinov will give a hands-on demonstration entitled [[SOCR_Events_July2008 | Using SOCR to Motivate Simulation Experiments in Middle and High School]] at the [http://censusatschool-california.stat.ucla.edu/ Second CensusAtSchool International Workshop], [http://censusatschool-california.stat.ucla.edu/ 3:15-4:00 PM, CCLIC Lab].
* July 07, 2008: [http://www.math.ucla.edu/~lvese Luminita Vese] and [http://www.stat.ucla.edu/~dinov Ivo Dinov] are co-organizing a [http://www.siam.org/meetings/is08/ SIAM Imaging Science] session on [http://meetings.siam.org/program.cfm?CONFCODE=IS08 Computational Science and Biology: The Challenges, Data, Methods and Tools] (MS4), [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6978 Part I] and [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6979 Part II].
* June 20, 2008: Nicolas Christou will present a seminar entitled [http://trc.ucdavis.edu/uc21st/concurrent.html Web-based, Data-driven Probability and Statistics Education], at the [http://trc.ucdavis.edu/uc21st/ UC21st Century - Teaching, Learning and Technology: Past, Present and Future] Conference ([http://trc.ucdavis.edu/uc21st/schedule.html 11:45AM - 12:30PM]). Video ([http://uocatdavis.wmod.llnwd.net/a2636/e1/TLTC/TLTC_Nicholas_Christou.wmv WMP], [http://webcast.ucdavis.edu/TLTC/ FLASH]) and [http://trc.ucdavis.edu/uc21st/proceedings/christou_dinov_uc21st.ppt PPT slides] ara available online.
* June 05, 2008: [[SOCR_Events_EOY2008 | SOCR End-of-Year Event]].
* [http://cts.stat.ucla.edu/seminars 2008 SOCR/CTS '''Seminars''']:
** Thursday May 29: [http://www.stat.berkeley.edu/~stark/ Phil Stark], [http://www.stat.berkeley.edu/ Department of Statistics, UC Berkeley], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, May 15: [http://www.stat.ucla.edu/~esfandia Mahtash Esfandiari] and Hai Nguyen, Dept. of Statisitics, UCLA
** Thursday, May 1: [http://www.stat.osu.edu/~dkp/ Dennis Pearl], [http://www.stat.osu.edu/ Dept. of Statistics, The Ohio State University]. "The Statistical Buffet" course redesign at OSU, [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, April 24: [http://mathequity.terc.edu/gw/html/Andeepage.html Andee Rubin], [http://www.terc.edu/ TERC], [http://cts.stat.ucla.edu/seminars/rubin.html Software as a Learning Context: the Case of TinkerPlots and Statistical Reasoning], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday April 10: [http://www.maths.qut.edu.au/profiles/macgillivray/ Helen MacGillvray], Queensland University of Technology, Australia, [http://cts.stat.ucla.edu/seminars/macgillvray.html Roles of Assessment in Learning of Statistics and Mathematics], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
* May 19, 2008: Dr. [http://www.stat.ucla.edu/~nchristo Nicolas Christou] will be awarded the prestigious [http://www.oid.ucla.edu/edtech/bpcaward Brian P. Copenhaver Award for Innovation in Teaching with Technology]. [[SOCR_Awards_Christou_BC2008 | More information about this event and Nicolas' contributions is available here]]. Nicolas Christou [http://www.oid.ucla.edu/edtech/bpcaward/2008-video-christou (video-stream) Interview] and [http://www.today.ucla.edu/campus/080520_online_stats-aid/ UCLA Today] article.
* May 05, 2008: Ivo Dinov will give a [http://www.amstat.org ASA]/[http://www.amstat.org/education/gaise/ GAISE] [[SOCR_Events_May2008 | Webinar for middle school teachers in various science and quantitative disciplines]].
* January 17-19, 2008, [http://www.hicstatistics.org/program_stats.htm 2008 Hawaii International Conference on Statistics, Mathematics and Related Fields], Honolulu, Hawaii:
** Nicolas Christou and Ivo Dinov will present [http://www.hicstatistics.org/STATS2008.pdf Statistics Online Computational Resource for Education: www.socr.ucla.edu];
** Priscilla Chui, Nicolas Christou and Ivo Dinov will present a talk on [http://www.hicstatistics.org/STATS2008.pdf Numbers and Sense].
* January 6-9, 2008: [http://www.ams.org/amsmtgs/2109_program.html Joint Mathematics Meetings (AMS/MAA), San Diego, CA].
** Annie Che, Nicolas Christou, Jenny Cui and Ivo Dinov will present a poster entitled [http://www.ams.org/amsmtgs/2109_program_monday.html SOCR Analyses: a free Internet-based Statistical Analysis Toolkit], on 01/07/08, 2-4 PM, as part of the [http://www.ams.org/amsmtgs/2109_program_monday.html NSF Division of Undergraduate Education] session.
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-P1-707) [http://www.ams.org/amsmtgs/2109_program_wednesday.html#2109:MAACPP2 Interactive Web-Based Probability Distribution Mathlets: www.SOCR.ucla.edu] at the [http://www.ams.org/amsmtgs/2109_abstracts/1035-p1-707.pdf MAA Session Mathlets and Web Resources for Mathematics and Statistics Education], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 1:20 PM, Wednesday Jan. 9, 2008].
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-62-1789) [http://www.ams.org/amsmtgs/2109_abstracts/1035-62-1789.pdf Generating Functions: Web-based SOCR Applets and Computational Library Interfaces], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 3:45 PM on Jan 09, 2008].

== 2007 ==
* Dec. 19. 2007, SOCR was added as a [http://apps.facebook.com/socrapp/ Facebook Application] and made available as a tool/plug-in to all FaceBook Users. To add the SOCR App to your Facebook page follow these steps:
** [http://www.facebook.com Login your Facebook account (or create one)]
** [http://apps.facebook.com/socrapp Visit the SOCR App home page]
** [http://www.facebook.com/apps/application.php?api_key=f7ba27416638bfa874514da430932a04 Add the SOCR App to your Applications by selecting '''add this application button''']
* Dec. 07, 2007, Dr. Dinov was interviewed and quoted in [http://wiki.stat.ucla.edu/socr/uploads/f/f9/WSJ_12_07_2007.pdf An article] in the [http://online.wsj.com/article/SB119698695198016514.html Wall Street Journal] about a paper by Leif Nelson (NYU) and Joseph Simmons (Yale) entitled [http://papers.ssrn.com/sol3/papers.cfm?abstract_id=946249 Moniker Maladies: When Names Sabotage Success]. In this article the authors present experimental designs and data to support hypotheses that ''unconscious behavior can insidiously undermine conscious pursuits''.
* Sept. 24, 2007: The [http://www.NSF.gov National Science Foundation (NSF)] extended the funding for the UCLA [[SOCR | Statistics Online Computational Resource (SOCR)]] for another 4 years (2007-2011). This is a great accomplishment for the [http://socr.ucla.edu/htmls/SOCR_Team.html SOCR team] and recognition of the SOCR Resource achievements since 2002. In the next 4 years, SOCR will design, test, validate, and disseminate 1) tools (applets, demos, GUI interfaces), 2) educational materials (activities, class notes, tutorials), and 3) resources (Statistics Online Computational Resource Wiki, consulting, workshops, etc.) More information is available [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0716055 online].
* Aug. 22-29, 2007: SOCR [http://wiki.stat.ucla.edu/socr/uploads/c/c4/SOCR_Abstract_Lisbon_ISI2007.pdf sampling and simulation resources] are going to be presented as an invited talk (Nicolas Christou) at the 2007 [http://www.isi2007.com.pt International Statistics Institute meeting (ISI)], Lisbon, Portugal, ([http://wiki.stat.ucla.edu/socr/uploads/7/7b/Christou_Dinov_Sanchez_ISI2007.pdf PDF Slides])
* Aug. 08-10, 2007: Nicolas Christou is invited to present the [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR Central Limit Theorem Applet and hands-on activity]] at the [http://mic07.merlot.org/program/index.php?sort=date&date=2007-08-09#904 2007 Multimedia Educational Resource for Learning and Online Teaching Conference], [http://conference.merlot.org/2007/ MERLOT], New Orleans, LA. ([http://wiki.stat.ucla.edu/socr/uploads/2/21/Christou_MERLOT_CLT_2007.pdf Talk PDF], [http://conference.merlot.org/2007/Thursday/merlot_clt_2007.ppt Talk PPT])
* Aug. 06-08, 2007: [[SOCR_Events_Aug2007 | SOCR/CAUSE Workshop]] at UCLA
* Aug. 01, 2007: [http://www.amstat.org/meetings/jsm/2007/ JSM] - Nicolas Christou will present [http://www.amstat.org/meetings/jsm/2007/onlineprogram/index.cfm?fuseaction=activity_details&activityid=465&sessionid=202134 Enhancing the Teaching of Statistics with Technology Using the Statistics Online Computational Resource (SOCR)] in Session 466, at 2:00 PM at the Joint Statistical Meetings in Salt Lake City, Utah, July 29-August 2, 2007 ([http://wiki.stat.ucla.edu/socr/uploads/5/52/Christou_Talk_JSM_Aug2007.pdf Abstract #309845], PDF).
* June 01 and June 08, 2007 (4PM): [http://www.socr.ucla.edu/docs/SOCR_talks_060107.html The State of the Statistics Online Computational Resources], Ivo Dinov will present at the [http://cts.stat.ucla.edu/seminars/ UCLA Statistics Teaching Seminar].
* May 21-22, 2007, [http://pages.stern.nyu.edu/~gsimon/ Gary Simon], [http://pages.stern.nyu.edu/ NYU Stern], will visit SOCR and give a [http://seminars.stat.ucla.edu/ seminar talk] (TBD).
* May 17-19, 2007: SOCR will be presented at an [http://wiki.stat.ucla.edu/socr/index.php/USCOTS_2007_Program_SOCR invited breakout session] of the [http://www.causeweb.org/uscots USCOTS 2007] (Juana Sanchez, Nicolas Christou and Ivo Dinov).
* Mar. 07, 2007. [http://wiki.stat.ucla.edu/socr/uploads/3/3c/TheNumbersGuy_WSJ_03_07_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117338464249431351-0ghR_0Jef5ubo6ZLbYIVoePRxrA_20070408.html?mod=tff_main_tff_top Wall Street Journal] discussing probability estimations quotes Ivo Dinov.
* Feb. 27, 2007. [http://wiki.stat.ucla.edu/socr/uploads/8/88/TheNumbersGuy_WSJ_02_23_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117207018272214963-M0nkHhnjRCR5_SIvOWHlNw2sCeE_20070324.html?mod=tff_main_tff_top Wall Street Journal] quotes the SOCR PI, Dr. Dinov.
* Jan. 08, 2007. [[SOCR]] was included in the [http://www.rsscse.org.uk/news/rssnewseducation.asp Royal Statistical Society News Brief]
* Jan. 05-08, 2007: [[SOCR]] Resource is presented at the [http://www.ams.org/amsmtgs/2098_intro.html Joint AMS/MAA meeting] in New Orleans, LA.
** Annie Che will present the [http://www.ams.org/amsmtgs/2098_progfull.html SOCR Analyses], Saturday January 6, 2007, 2:00 PM
** Ivo Dinov will give a talk on [http://www.ams.org/amsmtgs/2098_abstracts/1023-62-1.pdf SOCR Utilization and Assessment], Monday January 8, 2007, 2:45 PM, [http://www.ams.org/amsmtgs/2098_program_monday.html#2098:AMSCP28 AMS Session on Probability and Statistics]

== 2006 ==
* Ivo Dinov presented two talks at the 2006 American Medical Informatics Association ([http://www.amia.org AMIA]) [http://www.amia.org/meetings/f06/ Annual Meeting, Washington, DC]
** [http://www.amia.org/meetings/f06/showdoc.asp?DID=401 Biomedical Imaging Ontologies: Design Principles Enabling Interoperability for Imaging Applications, Tools, and Data], Nov. 11, 2006
** [http://www.amia.org/meetings/f06/showeve.asp?EID=S14 Seeing Biomedicine: New Opportunities and Research Challenges at the Intersection of Biomedical Imaging and Informatics], Nov. 13, 2006
* Maria Pilar Munoz, Dept. of Statistics, North Carolina State University, visited SOCR and gave a talk on [http://seminars.stat.ucla.edu/ ''Formal Assessment of a Web-based Tool Designed to Improve Student Performance in Statistics''], Tuesday, November 21, 2006, 3-4 pm; 6627 Math Sciences Bldg. Seminar#: 297.
* Juana Sanchez presented [http://www.socr.ucla.edu/docs/Sanchez_SOCR_JSM_2006.pdf SOCR Usage and Validation] at the [http://www.amstat.org/meetings/jsm/2006/onlineprogram/index.cfm?fuseaction=activity_details&activityid=148&sessionid=201662 Section on Statistical Education] of the [http://www.amstat.org/meetings/jsm/2006 Joint Statistics Meeting], August 2006, Seattle, WA.
* Juana Sanchez presented various SOCR Activities at the [http://www.maths.otago.ac.nz/icots7 ICOTS7], July 2006.
* Nicolas Christou gave a SOCR Colloquium Talk at the department of [http://www.mas.ucy.ac.cy/ Mathematics & Statistics, University of Cyprus], June 2006.
* [http://www.loni.ucla.edu/CCB/training.aspx?id=2912 2006 SIAM Symposia on Brain Segmentation], May 15-17, 2006 in Minneapolis, Minnesota, USA. Ivo Dinov organized a symposium at the [http://www.siam.org/meetings/is06 2006 SIAM Conference on Imaging Science] entitled ''Mathematical Methods and Tools for Volumetric Brain Segmentation''.
* Ivo Dinov presented the SOCR Resource at the [http://www.ams.org/amsmtgs/2095_intro.html Joint AMS/MAA joint Meeting], San Antonio, TX, January 2006

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_News}}

SOCR Events JMM BigData Jan2014

2013-07-17T23:58:56Z

IvoDinov: /* Session Logistics */

== [[SOCR_News | SOCR News & Events]]: 2014 JMM/AMS Special Session on Big-Data: Mathematical and Statistical Modeling, Tools, Services, and Training ==

[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': Room 317, [http://www.bccenter.org Baltimore Convention Center]
* '''Conference''': [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_intro 2014 JMM Meeting]
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html SS 18A] (due date: Sept 01, 2013)

==Speakers==
* To be announced in September 2013
* Ivo Dinov, [http://www.ams.org/amsmtgs/2160_abstracts/1096-68-27.pdf Big Data Challenges in Neuroimaging, Informatics and Genomics Computing (1096-68-27)]

==Resources==
* Big Data Videos [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mp4 mp4] and [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mpg mpeg]
* Slides/papers: TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Events JMM BigData Jan2014

2013-07-17T23:49:35Z

IvoDinov: /* Session Logistics */

== [[SOCR_News | SOCR News & Events]]: 2014 JMM/AMS Special Session on Big-Data: Mathematical and Statistical Modeling, Tools, Services, and Training ==

[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': Room 317, [http://www.bccenter.org Baltimore Convention Center]
* '''Conference''': [http://JointMathematicsMeetings.org/jmm 2014 JMM Meeting]
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html SS 18A] (due date: Sept 01, 2013)

==Speakers==
* To be announced in September 2013
* Ivo Dinov, [http://www.ams.org/amsmtgs/2160_abstracts/1096-68-27.pdf Big Data Challenges in Neuroimaging, Informatics and Genomics Computing (1096-68-27)]

==Resources==
* Big Data Videos [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mp4 mp4] and [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mpg mpeg]
* Slides/papers: TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Events JMM BigData Jan2014

2013-07-17T23:45:22Z

IvoDinov: /* Session Logistics */

== [[SOCR_News | SOCR News & Events]]: 2014 JMM/AMS Special Session on Big-Data: Mathematical and Statistical Modeling, Tools, Services, and Training ==

[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': TBD
* '''Conference''': [http://JointMathematicsMeetings.org/jmm 2014 JMM Meeting]
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* To be announced in September 2013
* Ivo Dinov, [http://www.ams.org/amsmtgs/2160_abstracts/1096-68-27.pdf Big Data Challenges in Neuroimaging, Informatics and Genomics Computing (1096-68-27)]

==Resources==
* Big Data Videos [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mp4 mp4] and [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mpg mpeg]
* Slides/papers: TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Course and Training Videos

2013-07-03T00:12:12Z

IvoDinov: /* SOCR Videos - SOCR Courses and Training Videos and Webcasts */

== [[SOCR Videos]] - SOCR Courses and Training Videos and Webcasts ==

[[Image:SOCR_HT_AnimatedGIF.gif|150px|thumbnail|right| [http://www.socr.ucla.edu/SOCR_HT_ResourceViewer.html Interactive SOCR Resource Viewer] ]]

See the [[SOCR_Courses|SOCR Courses]] and [[SOCR_News|SOCR News]].

=== '''2013'''===
* Spring 2013: [http://www.stat.ucla.edu/%7Edinov/courses_students.dir/13/Spring/STAT13.1.dir/STAT13.html UCLA Statistics for Life and Health Sciences (Stats 13, Spring 2013)]

=== '''2012'''===
* Winter 2012: [http://www.oid.ucla.edu/webcasts/courses/2011-2012/2012winter/stats13-1 UCLA Statistics for Life and Health Sciences (Stats 13, Winter 2012), video stream of 10-week/5 credit-hour course]
=== '''2011'''===
* June 2011: [http://groups.ischool.berkeley.edu/onlineeducation/ UCOP OIPP Meeting] [http://www.youtube.com/watch?v=O9aed06zCF0&list=PL5AB77EEBD0A8F7F9&index=6 UC Online Statistics Instruction (UC-OSI) video] (Berkeley, June 2011)
* Winter 2011: [http://ccle.ucla.edu/course/view/11W-STATS13-1?topic=-2 UCLA Statistics for Life and Health Sciences (Stats 13, Winter 2011), video stream of 10-week/5 credit-hour course]
=== '''2010'''===
* April 2010: [http://pipeline.loni.ucla.edu/support/event-videos/ Pipeline Environment]
* November 2010: A 50-minute [https://webmeeting.nih.gov/p56401662/ video stream demonstrating the Graphical Pipeline Environment and its functionality for managing bioinformatics and genomics analyses protocols].
=== '''2008'''===
* [http://www.amstat.org/education/webinars/ ASA K-12 Statistics Education Webinar (2008)] (direct [http://magazine.amstat.org/videos/education_webinars/SOCRWebinar.wmv| WMV link], large file download)
=== '''2007'''===
* [[SOCR_Events_Aug2007 |SOCR Continuing Statistics Education Workshop]] (Select '''Supporting Material''' Tab to view the different video clips for each day): [http://repositories.cdlib.org/socr/events/SOCR_2007_Workshop/Video_Day1 Day 1], [http://repositories.cdlib.org/socr/events/SOCR_2007_Workshop/Video_Day2 Day 2], [http://repositories.cdlib.org/socr/events/SOCR_2007_Workshop/Video_Day3 Day 3].

<hr>
* Other [[SOCR_Videos|SOCR Videos and Instructional Materials]]
* SOCR Home page: http://www.socr.ucla.edu or http://www.StatisticsResource.org

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Course_and_Training_Videos}}

SOCR Course and Training Videos

2013-07-03T00:10:44Z

IvoDinov:

== [[SOCR Videos]] - SOCR Courses and Training Videos and Webcasts ==

[[Image:SOCR_HT_AnimatedGIF.gif|150px|thumbnail|right| [http://www.socr.ucla.edu/SOCR_HT_ResourceViewer.html Interactive SOCR Resource Viewer] ]]

See the [[SOCR_Courses|SOCR Courses]] and [[SOCR_News|SOCR News]].

=== '''2011'''===
* Winter 2012: [http://www.oid.ucla.edu/webcasts/courses/2011-2012/2012winter/stats13-1 UCLA Statistics for Life and Health Sciences (Stats 13, Winter 2012), video stream of 10-week/5 credit-hour course]
=== '''2011'''===
* June 2011: [http://groups.ischool.berkeley.edu/onlineeducation/ UCOP OIPP Meeting] [http://www.youtube.com/watch?v=O9aed06zCF0&list=PL5AB77EEBD0A8F7F9&index=6 UC Online Statistics Instruction (UC-OSI) video] (Berkeley, June 2011)
* Winter 2011: [http://ccle.ucla.edu/course/view/11W-STATS13-1?topic=-2 UCLA Statistics for Life and Health Sciences (Stats 13, Winter 2011), video stream of 10-week/5 credit-hour course]
=== '''2010'''===
* April 2010: [http://pipeline.loni.ucla.edu/support/event-videos/ Pipeline Environment]
* November 2010: A 50-minute [https://webmeeting.nih.gov/p56401662/ video stream demonstrating the Graphical Pipeline Environment and its functionality for managing bioinformatics and genomics analyses protocols].
=== '''2008'''===
* [http://www.amstat.org/education/webinars/ ASA K-12 Statistics Education Webinar (2008)] (direct [http://magazine.amstat.org/videos/education_webinars/SOCRWebinar.wmv| WMV link], large file download)
=== '''2007'''===
* [[SOCR_Events_Aug2007 |SOCR Continuing Statistics Education Workshop]] (Select '''Supporting Material''' Tab to view the different video clips for each day): [http://repositories.cdlib.org/socr/events/SOCR_2007_Workshop/Video_Day1 Day 1], [http://repositories.cdlib.org/socr/events/SOCR_2007_Workshop/Video_Day2 Day 2], [http://repositories.cdlib.org/socr/events/SOCR_2007_Workshop/Video_Day3 Day 3].

<hr>
* Other [[SOCR_Videos|SOCR Videos and Instructional Materials]]
* SOCR Home page: http://www.socr.ucla.edu or http://www.StatisticsResource.org

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Course_and_Training_Videos}}

SOCR News

2013-06-20T18:47:34Z

IvoDinov: /* 2013 */

== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [http://www.socr.ucla.edu/feed.rss RSS Feeds]==

==2014==
* January 16, 2014: Ivo Dinov is organizing a [[SOCR_Events_JMM_BigData_Jan2014 |special American Mathematical Society (AMS) session on Big Data: Mathematical and Statistical Modeling, Tools, Services, and Training]], at the [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html2014 Joint Mathematics Meeting (JMM), Baltimore, MD, USA].

==2013==
* June 26, 2013: Ivo Dinov is speaking about "Analytical Pipeline Workflows, Resource Interoperability and Processing of “Big” Genomics Data" at a session on [http://www.clinicalgenomeconference.com/TCGC_content.aspx?id=123666&libID=123614 The Science of Investigation and Interpretation] at [http://www.clinicalgenomeconference.com/ The Clinical Genome Conference (TCGC)], [http://www.jdvhotels.com/hotels/california/san-francisco-hotels/hotel-kabuki Hotel Kabuki 1625 Post Street, San Francisco, CA 94115].
* June 16, 2013: Ivo Dinov is organizing a [[SOCR_Events_OHBM2013_Workflows|Continuing Education Course entitled Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions]]. This workshop is part of the [http://www.humanbrainmapping.org/OHBM2013/ 2013 Organization for Human Brain Mapping Meeting] in Seattle, Washington. Ivo Dinov is presenting [http://www.humanbrainmapping.org/files/2013MeetingFiles/Sessions/Neuroimaging%20%E2%80%98Big%20Data%E2%80%99%20Challenges%20and%20Computational%20Workflow%20Solutions.pdf The Pipeline Workflow Environment] at this workshop.
* May 20, 2013: Ivo Dinov is organizing a [http://www.loni.ucla.edu/twiki/bin/view/LONI/PL_ComputationalGenomicsWorkshop_2013 Computational Genomics Training Workshop] at UCLA. This workshop will be postponed to a future date, due to unforeseen scheduling conflicts.
* May 15-16, 2013: USCOTS 2013 Workshop: Dennis Pearl (Ohio State), Kyle Siegrist (University of Alabama) and Ivo Dinov (UCLA) are organizing a 2 day workshop [http://www.distributome.org/meetings/USCOTS_2013/ Interactive Probability Instruction], at the [http://www.causeweb.org/uscots/workshops/ USCOTS 2013 meeting]. The organizers will provide continuing education training for using the [http://www.Distributome.org Probability Distributome webapps], classroom use of the [http://www.math.uah.edu/stat Virtual Laboratories in Probability and Statistics], exploratory data analysis using the [http://www.SOCR.ucla.edu Statistics Online Computational Resource].
* April 08, 2013: Ivo Dinov is presenting the [http://www.loni.ucla.edu/twiki/pub/LONI/EpiBioS_Bioinformatics_2013/Dinov_EpiBioS_PipelineWorkflows_2013.pptx Pipeline Workflow Environment (PPTX)] at the [http://www.loni.ucla.edu/twiki/bin/view/LONI/EpiBioS_Bioinformatics_2013 Epilepsy Bioinformatics Workshop at UCLA].
* March 21, 2013: Nicolas Christou and Ivo Dinov, presented the [[SOCR_Events_LAUSD_Mar2013 |SOCR blended mathematics and statistics education resources relative to the California Common Core State Standards, LAUSD]].
* March 4-6, 2013: Ivo Dinov is presenting a paper entitled [http://www.pacificrimneuroimaging.net/wp-content/uploads/2012/11/Dinov_BigDataChallenges_2013.pdf How to Ride the Perfect Neuroimaging-Genetics-Computation Storm? Collision of Peta Bytes of Data, Thousands of Software Tools and Millions of Hardware Devices] at the [http://www.pacificrimneuroimaging.net/ New Horizons in Human Brain Imaging], Turtle Bay Resort, Oahu, Hawaii USA.
* January 23-25, 2013: [http://ccliconference.org/2013-tuesccli-pi-conference/ 2013 AAAS TUES/CCLI conference in Washington, DC]; American Association for the Advancement of Science, AAAS, and the National Science Foundation, NSF, Programs for Course, Curriculum, and Laboratory Improvement, CCLI, and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES.
** Ivo Dinov is [http://ccliconference.org/abstracts/943 presenting the SOCR resource].
** Kyle Siegrist, Dennis Pearl and Ivo Dinov are presenting [http://ccliconference.org/abstracts/1166 the Probability Distributome Project].

==2012==
* November 27, 2012: Ivo Dinov (SOCR/UCLA), Dennis Pearl (MBI/OSU) and Kyle Siegrist (UAH/VLPS) are presenting a [http://www.distributome.org/meetings/CAUSEWeb_Webinar2012/ CAUSEWeb Webinar: Hands-on Distributome Activities for Teaching Probability] (Tuesday, 2:30 PM Eastern Time).
* October 20-21, 2012: [http://www.google-melange.com/gsoc/homepage/google/gsoc2012 Google 2012 Summer of Code (GSoC'12)] [http://gsoc-wiki.osuosl.org/index.php/2012 Mentor Summit]: Dr. Dinov presented the [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR-GSoC'12 projects] and lead 2 working sessions on [https://gsoc-wiki.osuosl.org/index.php/Building,_supporting_and_funding_academic-industry_collaborations_-_ideas,_partners,_challenges_and_prospects Building, supporting and funding academic-industry collaborations - ideas, partners, challenges and prospects] and [http://gsoc-wiki.osuosl.org/index.php/JS_SciCompLib JavaScript Science Computation Library] at this event.
* October 09, 2012: Dr. Ivo Dinov consults on a PBS NOVA/WGBH [http://www.pbs.org/wgbh/nova/body/mapping-the-brain.html Interactive Mapping the Brain Webapp] providing understanding of the relationship between brain anatomy, function and physiology. This resource enables the exploration of complex connections between different brain regions, and showcases the difference between normal and abnormal brain variability.
* August 02, 2012: Ivo Dinov is presenting an invited talk entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=303516 Computational Neuroinformatics: Challenges, Methods & Tools] at the [http://www.amstat.org/meetings/jsm/2012/ 2012 JSM meeting] in San Diego, CA. Session, (207361), [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=207361 Innovations in Biomaging and the Impact of Statistics”, Session #587], Thursday, 8/2/2012, from 8:30 AM - 10:20 AM.
* July 31, 2012: Scott Kamino, Bilal Bhakhrani, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=306019 Bivariate Normal Distribution: A New SOCR Applet] at [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=208039 2012 JSM Meeting in San Diego, CA] (Tue, 7/31/2012, 10:30 AM - 12:20 PM, CC-Room 30C).
* July 13, 2012: Ivo Dinov is giving a lecture entitled [http://www.mntp.pitt.edu/Symposium/Symposium_DataProc_2012.html Multimodal Neuroimaging and Distributed Computing using the Pipeline Environment] at the 2012 [http://www.mntp.pitt.edu/ Multimodal Neuroimaging Training Program (MNTP)] at the University of Pittsburgh.
* May 2012: [http://socr.ucla.edu/htmls/ana/ SOCR Analyses] are utilized as the key statistical computing library part of the [http://pipeline.loni.ucla.edu/ Pipeline Graphical Workflow Environment]. One example is the use of the [[SOCR_EduMaterials_AnalysisActivities_MLR|SOCR Multivariate Linear Regression]] and [[SOCR_EduMaterials_AnalysesCommandLineFDR_Correction|False Discovery Rate (FDR)]] utilities for analyzing multidimensional neuroimaging data (http://ucla.in/Ie80ps).
* April 26, 2012: Ivo Dinov and Nicholas Christou are presenting a special session entitled [[SOCR_Events_NCMT_2012 |Technology-Enhanced Mathematics and Statistics Education]] at the [http://www.nctm.org/conferences/content.aspx?id=29461 2012 National Council of Teachers of Mathematics (NCMT) Meeting] in Philadelphia, Pennsylvania (April 25-28, 2012).
* April 17, 2012: Jack Van Horn, Ivo Dinov, Paul Eggert and Arthur Toga organized a workshop [http://pipeline.loni.ucla.edu/training/bigdata_2012/ Big Data Analysis Using the LONI Pipeline].
* March 2012: SOCR Projects are part of GSoC 2012: [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR is one of the high-profile projects included in the 2012 Google Summer of Code (GSoC)]. As part of this program, SOCR is looking for highly-motivated, technologically-savvy and result-oriented students to work on [[Available_SOCR_Development_Projects|expanding the large suite of SOCR computational libraries, designing and implementing novel open-source HTML5/JavaScript/JQuery webapps and web-resources for improving science education]].
* March 16-17, 2012: Ivo Dinov is organizing a [http://pipeline.loni.ucla.edu/training/cchmc2012/ Pipeline Training Workshop] at the University of Cincinnati and the Cincinnati Children’s Hospital Medical Center (CCHMC), Cincinnati, OH.

==2011==
* September 2011: SOCR Applications in Human Brain Mapping. [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract Human brain mapping investigators use SOCR resources and tools to investigate frontal, temporal, and ventricular dysmorphology in schizophrenia, putamen/pallidum enlargements, medication exposure in early studies, and genetic predisposition for schizophrenia]. This report published in the [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract HBM Journal] reveals the role of specific genetic or environmental risk factors toward altered brain morphology in schizophrenia.
* Sept. 17, 2011: Ivo Dinov is interviewed by [http://www.dailybruin.com/index.php/section/on_the_record Daily Bruin "On The Record"] about [http://www.dailybruin.com/index.php/multimedia/43623 student loans and the rate of increase of the cost of college tuition].
* August 12, 2011: Scott Kamino, Lance Perry and Mat Swatek submitted a [http://www.youtube-nocookie.com/embed/kVhorHV35To video entitled "To Stat, or not to Stat?"] responding to the [http://www.amstat.org/youtube/ ASA contest to promote the practice and profession of statistics].
* August 03, 2011: Dave Zes, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2011/onlineprogram/AbstractDetails.cfm?abstractid=302579 Spatial Statistics and Cartography Using SOCR (Abstract #302579)] in [http://www.amstat.org/meetings/jsm/2011/onlineprogram/MainSearchResults.cfm?SponsorID=206 Session # 524 (Wed, 8/3/2011, 11:20 AM)] at the [http://www.amstat.org/meetings/jsm/2011 Joint Statistical Meeting] in Miami Beach, Florida, July 30–August 4, 2011.
* July 15, 2011: Dr. Dinov was interviewed and quoted in an article in the Wall Street Journal about [http://blogs.wsj.com/numbersguy/happy-square-prime-sandwich-day-1072/ the proliferation of days designated to mark certain numerical properties - Happy Square-Prime Sandwich Day].
* June 24-25, 2011: Ivo Dinov is presenting [http://socr.ucla.edu/Ed/UC_OSI/ SOCR resource utilization in the University of California - Online Statistics Instruction (UC-OSI)] program. [http://www.ucop.edu UCOP] [http://groups.ischool.berkeley.edu/onlineeducation/ OIPP] [http://groups.ischool.berkeley.edu/onlineeducation/project-participants/course-design-conference Meeting, Berkeley, California]. See the video on [http://www.youtube.com/watch?v=O9aed06zCF0&list=PL5AB77EEBD0A8F7F9&index=6 YouTube].
* April 11-14, 2011: [http://www.healthgrid.org/news/index.php?id=31 outGRID workshop, Vilnius, Lithuania]. Ivo Dinov is presenting a paper entitled [http://www.egi.eu/indico/getFile.py/access?contribId=114&sessionId=12&resId=2&materialId=slides&confId=207 Visual Informatics and Computational Genomics using the Graphical Pipeline Environment].
* January 26-28, 2011: Ivo Dinov is [http://ccliconference.org/abstracts/663 presenting the SOCR resource] at the [http://www.ccliconference.com/ 2011 AAAS TUES/CCLI conference in Washington, DC] (American Association for the Advancement of Science, AAAS, and the National Science Foundation (NSF) Programs for Course, Curriculum, and Laboratory Improvement (CCLI) and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES).
* January 07, 2011: [http://distributome.org/ Distributome-An Interactive Web-based Resource for Probability Distributions]: Kyle Siegrist, Ivo Dinov, and Dennis Pearl will present the [http://www.mathaware.org/meetings/national/jmm/2125_program_friday.html State of the Probability Distributome Project], 2011 JMM meeting, NSF Division of Undergraduate Education, Napoleon A1-A3, 3rd Floor, Sheraton, 2:00-4:00PM.

==2010==
* December 04-05, 2010: [http://www.cmc-math.org/activities/north_program.html 2010 CMC-North Annual Asilomar Mathematics Conference]. Ivo Dinov will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* November 18, 2012: Dr. Dinov presented a seminar entitled [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=showevent&ncmd=calmonth&cal=cal2&id=1287690501-25406-1&ncals=&y=2010&m=11&d=18&token=&sb=0&cf=cal&lc=calmonth&swe=1&set=1&sa=0&sort=e,m,t&ws=0&sib=1&de=1&tf=0 Computational Neuroinformatics: Challenges, Methods, & Tools], UCLA [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=calmonth&ncmd=startup&cal=cal2 Computer Science Seminar Series].
* November 05-06, 2010: [http://www.cmc-math.org/activities/south_conference.html 2010 CMC-South Annual Palm Springs Mathematics Conference]. Ivo Dinov and Nicolas Christou will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* September 2010: [http://magazine.amstat.org/blog/2010/09/01/hands-on/ The SOCR MotionCharts Project receives an honorable mention in the 2010 ASA Hands-On Statistics Activity Competition].
* September 2010: In a High Speed Network partnership with K-12 educators, the SOCR Probability and Statistics [[EBook]] is posted on the [http://www.k12hsn.org/calaxy/wikis.php/calaxy/Probability_and_Statistics_EBook K12HSN network and made freely and openly available to the entire K-12 educational community].
* August 13, 2010, [[SOCR_Events_Aug2010 | SOCR AP Statistics Continuing Education Workshop]] at UCLA.
* July 31 - August 05, 2010, [http://www.amstat.org/meetings/jsm/2010/ JSM 2010 Conference], Vancouver, BC, Canada, July 31 – August 5, 2010:
** Juana Sanchez, Nicolas Christou and Ivo Dinov will present [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR CLT Applet and Activity]], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=307049 Abstract #307049], Tue, 8/3/2010, 2:00 PM.
** Nicolas Christou and Ivo Dinov will present [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Enhancing the Teaching of Statistics: Analysis of Spatial Data Using SOCR and R], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Abstract #308613], Wed, 8/4/2010, 8:30 AM.
* July 20-23, 2010 [http://sloanconsortium.org/et4online Sloan Consortium/MERLOT symposium] (Fairmont Hotel in San Jose, CA). Nicolas Christou, Ryan Rosario and Ivo Dinov will present a session entitled [[SOCR_Events_SloanMerlot_2010 | Technology-Enhanced Probability and Statistics Education Using the Statistics Online Computational Resource]].
* June 09, 2010: SOCR V2.6 receives the [http://www.softpedia.com/progClean/Statistics-Online-Computational-Resource-Clean-161967.html Softpedia "100% Free & Clean" award]. This [http://www.socr.ucla.edu/htmls/SOCR_Recognitions.html certifies that all SOCR tools] are free of all forms of malware, including spyware, viruses, trojans and backdoors, and can be used and installed with no concern by any computer user.
* May 14, 2010: Dr. Dinov was interviewed and quoted in an article in the [http://blogs.wsj.com/numbersguy/overblown-notions-about-names-940/ Wall Street Journal about the concept of implicit egotism, or people’s unconscious attraction to things or people that resemble themselves — as manifested by name similarity].
* May 11, 2010: [[SOCR_Events_CAUSE_TL_Spring2010 | CAUSE SOCR Teaching and Learning Webinar]].
* April 19, 2010: [[SOCR_Events_FTO_Obesity_Neuroimaging2010 |The largest neuroimaging study to-date identifies the relations between obesity gene (FTO) and brain tissue loss using the SOCR computational libraries]].
* March 25, 2010: We upgraded the [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR user web-statistics mechanism]. Now we provide anonymous access to dynamic and complete statistics on the web-users of the main [http://www.SOCR.ucla.edu SOCR server]. The new [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR web-statistics architecture] allows anyone to see anytime the locations and types of the last 500 SOCR users. Each user is uniquely counter daily, irrespective of usage-time or number of SOCR resources they used. Other [[SOCR_Servers | SOCR servers]] have separate tracking mechanisms.
* March 17, 2010: [http://www.scientistlive.com/European-Science-News/Medical/Brain_abnormalities_in_children_exposed_to_meth/24237/ Brain abnormalities in children exposed to meth] - a news-brief on a recent [http://www.jneurosci.org/cgi/content/abstract/30/11/3876 article on Prenatal Methamphetamine use], co-authored by Dr. Dinov, is distributed by the National Institutes of Health.
* January 12, 2010: NSF/DUE PI Meeting at the [http://www.ams.org/amsmtgs/2124_intro.html 2010 JMM Meeting in San Francisco, CA]. Dr. Dinov [[SOCR_Events_JMM_Jan2010 |presented the SOCR Resource]].

==2009==
* October 2009: A new major upgrade of [[SOCR_EduMaterials_AnalysesActivities |SOCR Analyses]] is released that fixed the appearance of the tabs on all SOCR analysis applets. The new version only shows the tabs that are appropriate for the specific SOCR Analysis chosen by the user. This upgrade of Analyses resolves this inconsistency and makes the navigation to data-input, variable-mapping and result-interpretation much more intuitive and user-friendly.
* September 2009: A new [http://forums.stat.ucla.edu/socr SOCR forum is introduced]. Users, instructors, students and developers may use this forum to post questions, learn about various SOCR datasets, tools, learning materials, and contribute to the SOCR knowledgebase.
* August 15-23, 2009 [http://www.statssa.gov.za/isi2009/index.aspx SOCR Organized Events at the 2009 International Statistical Institute Meeting]
** August 16, 2009, [[SOCR_Events_ISIW_Aug2009 | SOCR Workshop at 2009 ISI Meeting]].
** August 17, 2009, [[SOCR_Events_ISIS_Aug2009 | A special session entitled ''Interactive, Data-Driven and Technology-Enhanced Approaches for Probability and Statistics Education'']], organized by Ivo Dinov and Nicolas Christou at 2009 ISI Meeting.
* August 10, 2009: The [http://www.dailybruin.com/index.php/article/2009/08/ucla-professors-host-workshop-open-source-projects Daily Bruin published an article about SOCR], summarizing [http://wiki.stat.ucla.edu/socr/uploads/9/93/DailyBruin_UCLA_SOCR_Aug2009.pdf the project scope and interviewing Ivo Dinov and Nicolas Christou].
* August 10-12, 2009, [[SOCR_Events_Aug2009 | SOCR Training & Development Workshop]] at UCLA.
* August 03, 2009, [http://www.amstat.org/meetings/jsm/2009/onlineprogram/index.cfm?fuseaction=activity_details&activityid=164&sessionid=204418 Confidence Intervals using SOCR]. Nicolas Christou and Ivo Dinov are presenting SOCR at the [http://www.amstat.org/meetings/jsm/2009/ 2009 JSM Meeting in Washington, DC].
* June 27, 2009, Nicolas Christou [http://www.causeweb.org/uscots/uscots09/program/posters.pdf presented a poster (page 19)] at the [http://www.causeweb.org/uscots/uscots09/ 2009 USCOTS conference at OSU].
* April 16, 2009, SOCR Sponsored [http://cts.stat.ucla.edu/seminars/ Teaching Statistics Seminar] by [http://www.stat.tamu.edu/~west/ Webster West], 4-5 PM, Math Science 5137.
* January 05-08, 2009: Ivo Dinov will give 2 talks and present a poster at [http://www.ams.org/amsmtgs/2110_program.html 2009 Joint AMS/MAA Meeting in Washington, DC], January 05-08, 2009.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf Interactive, Data-Driven and Technology-Enhanced Approach for Probability and Statistics Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:MAACPE1 Demos and Strategies with Technology that Enhance Teaching and Learning Mathematics], Tuesday, January 06, 2009, 9:20AM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf 1046-E1-26], [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.pdf PDF Slides].
** [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS Statistics Online Computational Resource for Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS MAA Poster Session on Projects Supported by the NSF Division of Undergraduate Education], Tuesday, January 06, 2009, 2 PM, Blue Room and Foyer, Omni Shoreham Hotel.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf Integrated, Multidisciplinary and Technology-Enhanced Science Education: The Next Frontier], at a [http://www.ams.org/amsmtgs/2110_program_wednesday.html#2110:AMSCP28 Mathematics Education session], Wednesday, January 07, 2009, 1:15PM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf 1046-97-25], [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.pdf PDF Slides].

== 2008 ==
* November 17, 2008: [[SOCR_Overview_2008 | SOCR Presentation]] at [http://courses.stat.ucla.edu/index.php?term=08F&course=6637912&lecture=66379120 Statistics 495A] (Fall 2008).
* October 17, 2008: [[SOCR_Events_UCCP2008 | SOCR presentation at the UCCP/UCLA CDI meeting]] at at [http://www.cdi.ucla.edu/ UCLA CDI].
* September 27, 2008: Ivo Dinov is [[SOCR_Events_SMC2008 | presenting the SOCR resources]] at a continuing education event at Santa Monica College.
* September 17, 2008: The complete [[SOCR]] source code, v.2.5, was publicly released via the [http://socr.googlecode.com SOCR Google Code project page]. This new release contains the latest version of the [[SOCR]] libraries and all additional resources needed to revise, compile, package and deploy the entire [[SOCR]] resource on the Internet.
* August 14-15, 2008: Ivo Dinov is [[SOCR_Events_CCLI2008 | presenting the SOCR resource]] at the [http://www.ccliconference.com/ 2008 CCLI AAAS conference in Washington, DC].
* August 9, 2008: Nicolas Christou will present a seminar entitled [http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09#1090 Law of Large Numbers: The Theory, Applications and Technology-based Education], at the [http://mic08.merlot.org/program 2008 MERLOT International Conference] ([http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09 1:30-2:00 PM in the Conrad A Room]).
* August 2008: SOCR is releasing a new [http://www.esurveyspro.com/Survey.aspx?id=79ba4c38-b7d0-4530-aa00-12fdd32b6609 electronic polling survey to solicit open and anonymous community feedback on existing SOCR resources and recommendations for development of future SOCR materials and tools].
* August 2008, [http://www.amstat.org/meetings/jsm/2008 2009 Joint Statistics Meeting]
** Thu, 8/7/08, 10:30 AM - 12:20, Nicolas Christou is Chairing a session entitled [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=519&sessionid=203496 The Internet, Telecommunications, and Migration]
** Wed, 8/06/08, 2:00 PM - 3:50 PM, Nicolas Christou and Ivo Dinov are presenting [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=301649 Applications of Statistics in Finance Using the Statistics Online Computational Resource (SOCR)] in a special session on [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=451&sessionid=203500 Portfolio Analysis, Exchange Rates, Microstructure, and GARCH Models]
* July 29, 2008: Ivo Dinov will give a hands-on demonstration entitled [[SOCR_Events_July2008 | Using SOCR to Motivate Simulation Experiments in Middle and High School]] at the [http://censusatschool-california.stat.ucla.edu/ Second CensusAtSchool International Workshop], [http://censusatschool-california.stat.ucla.edu/ 3:15-4:00 PM, CCLIC Lab].
* July 07, 2008: [http://www.math.ucla.edu/~lvese Luminita Vese] and [http://www.stat.ucla.edu/~dinov Ivo Dinov] are co-organizing a [http://www.siam.org/meetings/is08/ SIAM Imaging Science] session on [http://meetings.siam.org/program.cfm?CONFCODE=IS08 Computational Science and Biology: The Challenges, Data, Methods and Tools] (MS4), [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6978 Part I] and [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6979 Part II].
* June 20, 2008: Nicolas Christou will present a seminar entitled [http://trc.ucdavis.edu/uc21st/concurrent.html Web-based, Data-driven Probability and Statistics Education], at the [http://trc.ucdavis.edu/uc21st/ UC21st Century - Teaching, Learning and Technology: Past, Present and Future] Conference ([http://trc.ucdavis.edu/uc21st/schedule.html 11:45AM - 12:30PM]). Video ([http://uocatdavis.wmod.llnwd.net/a2636/e1/TLTC/TLTC_Nicholas_Christou.wmv WMP], [http://webcast.ucdavis.edu/TLTC/ FLASH]) and [http://trc.ucdavis.edu/uc21st/proceedings/christou_dinov_uc21st.ppt PPT slides] ara available online.
* June 05, 2008: [[SOCR_Events_EOY2008 | SOCR End-of-Year Event]].
* [http://cts.stat.ucla.edu/seminars 2008 SOCR/CTS '''Seminars''']:
** Thursday May 29: [http://www.stat.berkeley.edu/~stark/ Phil Stark], [http://www.stat.berkeley.edu/ Department of Statistics, UC Berkeley], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, May 15: [http://www.stat.ucla.edu/~esfandia Mahtash Esfandiari] and Hai Nguyen, Dept. of Statisitics, UCLA
** Thursday, May 1: [http://www.stat.osu.edu/~dkp/ Dennis Pearl], [http://www.stat.osu.edu/ Dept. of Statistics, The Ohio State University]. "The Statistical Buffet" course redesign at OSU, [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, April 24: [http://mathequity.terc.edu/gw/html/Andeepage.html Andee Rubin], [http://www.terc.edu/ TERC], [http://cts.stat.ucla.edu/seminars/rubin.html Software as a Learning Context: the Case of TinkerPlots and Statistical Reasoning], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday April 10: [http://www.maths.qut.edu.au/profiles/macgillivray/ Helen MacGillvray], Queensland University of Technology, Australia, [http://cts.stat.ucla.edu/seminars/macgillvray.html Roles of Assessment in Learning of Statistics and Mathematics], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
* May 19, 2008: Dr. [http://www.stat.ucla.edu/~nchristo Nicolas Christou] will be awarded the prestigious [http://www.oid.ucla.edu/edtech/bpcaward Brian P. Copenhaver Award for Innovation in Teaching with Technology]. [[SOCR_Awards_Christou_BC2008 | More information about this event and Nicolas' contributions is available here]]. Nicolas Christou [http://www.oid.ucla.edu/edtech/bpcaward/2008-video-christou (video-stream) Interview] and [http://www.today.ucla.edu/campus/080520_online_stats-aid/ UCLA Today] article.
* May 05, 2008: Ivo Dinov will give a [http://www.amstat.org ASA]/[http://www.amstat.org/education/gaise/ GAISE] [[SOCR_Events_May2008 | Webinar for middle school teachers in various science and quantitative disciplines]].
* January 17-19, 2008, [http://www.hicstatistics.org/program_stats.htm 2008 Hawaii International Conference on Statistics, Mathematics and Related Fields], Honolulu, Hawaii:
** Nicolas Christou and Ivo Dinov will present [http://www.hicstatistics.org/STATS2008.pdf Statistics Online Computational Resource for Education: www.socr.ucla.edu];
** Priscilla Chui, Nicolas Christou and Ivo Dinov will present a talk on [http://www.hicstatistics.org/STATS2008.pdf Numbers and Sense].
* January 6-9, 2008: [http://www.ams.org/amsmtgs/2109_program.html Joint Mathematics Meetings (AMS/MAA), San Diego, CA].
** Annie Che, Nicolas Christou, Jenny Cui and Ivo Dinov will present a poster entitled [http://www.ams.org/amsmtgs/2109_program_monday.html SOCR Analyses: a free Internet-based Statistical Analysis Toolkit], on 01/07/08, 2-4 PM, as part of the [http://www.ams.org/amsmtgs/2109_program_monday.html NSF Division of Undergraduate Education] session.
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-P1-707) [http://www.ams.org/amsmtgs/2109_program_wednesday.html#2109:MAACPP2 Interactive Web-Based Probability Distribution Mathlets: www.SOCR.ucla.edu] at the [http://www.ams.org/amsmtgs/2109_abstracts/1035-p1-707.pdf MAA Session Mathlets and Web Resources for Mathematics and Statistics Education], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 1:20 PM, Wednesday Jan. 9, 2008].
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-62-1789) [http://www.ams.org/amsmtgs/2109_abstracts/1035-62-1789.pdf Generating Functions: Web-based SOCR Applets and Computational Library Interfaces], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 3:45 PM on Jan 09, 2008].

== 2007 ==
* Dec. 19. 2007, SOCR was added as a [http://apps.facebook.com/socrapp/ Facebook Application] and made available as a tool/plug-in to all FaceBook Users. To add the SOCR App to your Facebook page follow these steps:
** [http://www.facebook.com Login your Facebook account (or create one)]
** [http://apps.facebook.com/socrapp Visit the SOCR App home page]
** [http://www.facebook.com/apps/application.php?api_key=f7ba27416638bfa874514da430932a04 Add the SOCR App to your Applications by selecting '''add this application button''']
* Dec. 07, 2007, Dr. Dinov was interviewed and quoted in [http://wiki.stat.ucla.edu/socr/uploads/f/f9/WSJ_12_07_2007.pdf An article] in the [http://online.wsj.com/article/SB119698695198016514.html Wall Street Journal] about a paper by Leif Nelson (NYU) and Joseph Simmons (Yale) entitled [http://papers.ssrn.com/sol3/papers.cfm?abstract_id=946249 Moniker Maladies: When Names Sabotage Success]. In this article the authors present experimental designs and data to support hypotheses that ''unconscious behavior can insidiously undermine conscious pursuits''.
* Sept. 24, 2007: The [http://www.NSF.gov National Science Foundation (NSF)] extended the funding for the UCLA [[SOCR | Statistics Online Computational Resource (SOCR)]] for another 4 years (2007-2011). This is a great accomplishment for the [http://socr.ucla.edu/htmls/SOCR_Team.html SOCR team] and recognition of the SOCR Resource achievements since 2002. In the next 4 years, SOCR will design, test, validate, and disseminate 1) tools (applets, demos, GUI interfaces), 2) educational materials (activities, class notes, tutorials), and 3) resources (Statistics Online Computational Resource Wiki, consulting, workshops, etc.) More information is available [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0716055 online].
* Aug. 22-29, 2007: SOCR [http://wiki.stat.ucla.edu/socr/uploads/c/c4/SOCR_Abstract_Lisbon_ISI2007.pdf sampling and simulation resources] are going to be presented as an invited talk (Nicolas Christou) at the 2007 [http://www.isi2007.com.pt International Statistics Institute meeting (ISI)], Lisbon, Portugal, ([http://wiki.stat.ucla.edu/socr/uploads/7/7b/Christou_Dinov_Sanchez_ISI2007.pdf PDF Slides])
* Aug. 08-10, 2007: Nicolas Christou is invited to present the [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR Central Limit Theorem Applet and hands-on activity]] at the [http://mic07.merlot.org/program/index.php?sort=date&date=2007-08-09#904 2007 Multimedia Educational Resource for Learning and Online Teaching Conference], [http://conference.merlot.org/2007/ MERLOT], New Orleans, LA. ([http://wiki.stat.ucla.edu/socr/uploads/2/21/Christou_MERLOT_CLT_2007.pdf Talk PDF], [http://conference.merlot.org/2007/Thursday/merlot_clt_2007.ppt Talk PPT])
* Aug. 06-08, 2007: [[SOCR_Events_Aug2007 | SOCR/CAUSE Workshop]] at UCLA
* Aug. 01, 2007: [http://www.amstat.org/meetings/jsm/2007/ JSM] - Nicolas Christou will present [http://www.amstat.org/meetings/jsm/2007/onlineprogram/index.cfm?fuseaction=activity_details&activityid=465&sessionid=202134 Enhancing the Teaching of Statistics with Technology Using the Statistics Online Computational Resource (SOCR)] in Session 466, at 2:00 PM at the Joint Statistical Meetings in Salt Lake City, Utah, July 29-August 2, 2007 ([http://wiki.stat.ucla.edu/socr/uploads/5/52/Christou_Talk_JSM_Aug2007.pdf Abstract #309845], PDF).
* June 01 and June 08, 2007 (4PM): [http://www.socr.ucla.edu/docs/SOCR_talks_060107.html The State of the Statistics Online Computational Resources], Ivo Dinov will present at the [http://cts.stat.ucla.edu/seminars/ UCLA Statistics Teaching Seminar].
* May 21-22, 2007, [http://pages.stern.nyu.edu/~gsimon/ Gary Simon], [http://pages.stern.nyu.edu/ NYU Stern], will visit SOCR and give a [http://seminars.stat.ucla.edu/ seminar talk] (TBD).
* May 17-19, 2007: SOCR will be presented at an [http://wiki.stat.ucla.edu/socr/index.php/USCOTS_2007_Program_SOCR invited breakout session] of the [http://www.causeweb.org/uscots USCOTS 2007] (Juana Sanchez, Nicolas Christou and Ivo Dinov).
* Mar. 07, 2007. [http://wiki.stat.ucla.edu/socr/uploads/3/3c/TheNumbersGuy_WSJ_03_07_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117338464249431351-0ghR_0Jef5ubo6ZLbYIVoePRxrA_20070408.html?mod=tff_main_tff_top Wall Street Journal] discussing probability estimations quotes Ivo Dinov.
* Feb. 27, 2007. [http://wiki.stat.ucla.edu/socr/uploads/8/88/TheNumbersGuy_WSJ_02_23_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117207018272214963-M0nkHhnjRCR5_SIvOWHlNw2sCeE_20070324.html?mod=tff_main_tff_top Wall Street Journal] quotes the SOCR PI, Dr. Dinov.
* Jan. 08, 2007. [[SOCR]] was included in the [http://www.rsscse.org.uk/news/rssnewseducation.asp Royal Statistical Society News Brief]
* Jan. 05-08, 2007: [[SOCR]] Resource is presented at the [http://www.ams.org/amsmtgs/2098_intro.html Joint AMS/MAA meeting] in New Orleans, LA.
** Annie Che will present the [http://www.ams.org/amsmtgs/2098_progfull.html SOCR Analyses], Saturday January 6, 2007, 2:00 PM
** Ivo Dinov will give a talk on [http://www.ams.org/amsmtgs/2098_abstracts/1023-62-1.pdf SOCR Utilization and Assessment], Monday January 8, 2007, 2:45 PM, [http://www.ams.org/amsmtgs/2098_program_monday.html#2098:AMSCP28 AMS Session on Probability and Statistics]

== 2006 ==
* Ivo Dinov presented two talks at the 2006 American Medical Informatics Association ([http://www.amia.org AMIA]) [http://www.amia.org/meetings/f06/ Annual Meeting, Washington, DC]
** [http://www.amia.org/meetings/f06/showdoc.asp?DID=401 Biomedical Imaging Ontologies: Design Principles Enabling Interoperability for Imaging Applications, Tools, and Data], Nov. 11, 2006
** [http://www.amia.org/meetings/f06/showeve.asp?EID=S14 Seeing Biomedicine: New Opportunities and Research Challenges at the Intersection of Biomedical Imaging and Informatics], Nov. 13, 2006
* Maria Pilar Munoz, Dept. of Statistics, North Carolina State University, visited SOCR and gave a talk on [http://seminars.stat.ucla.edu/ ''Formal Assessment of a Web-based Tool Designed to Improve Student Performance in Statistics''], Tuesday, November 21, 2006, 3-4 pm; 6627 Math Sciences Bldg. Seminar#: 297.
* Juana Sanchez presented [http://www.socr.ucla.edu/docs/Sanchez_SOCR_JSM_2006.pdf SOCR Usage and Validation] at the [http://www.amstat.org/meetings/jsm/2006/onlineprogram/index.cfm?fuseaction=activity_details&activityid=148&sessionid=201662 Section on Statistical Education] of the [http://www.amstat.org/meetings/jsm/2006 Joint Statistics Meeting], August 2006, Seattle, WA.
* Juana Sanchez presented various SOCR Activities at the [http://www.maths.otago.ac.nz/icots7 ICOTS7], July 2006.
* Nicolas Christou gave a SOCR Colloquium Talk at the department of [http://www.mas.ucy.ac.cy/ Mathematics & Statistics, University of Cyprus], June 2006.
* [http://www.loni.ucla.edu/CCB/training.aspx?id=2912 2006 SIAM Symposia on Brain Segmentation], May 15-17, 2006 in Minneapolis, Minnesota, USA. Ivo Dinov organized a symposium at the [http://www.siam.org/meetings/is06 2006 SIAM Conference on Imaging Science] entitled ''Mathematical Methods and Tools for Volumetric Brain Segmentation''.
* Ivo Dinov presented the SOCR Resource at the [http://www.ams.org/amsmtgs/2095_intro.html Joint AMS/MAA joint Meeting], San Antonio, TX, January 2006

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_News}}

AP Statistics Curriculum 2007 Infer 2Means Dep

2013-06-17T20:05:11Z

IvoDinov: /* Paired vs. Independent Testing */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Inferences about Two Means: Dependent Samples==

In the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean | previous chapter we saw how to do significance testing in the case of a single random sample]]. Now, we show how to do hypothesis testing comparing two samples and we begin with the simple case of paired samples.

=== Inferences About Two Means: Dependent Samples===
In all study designs, it is always critical to clearly identify whether samples we compare come from dependent or independent populations. There is a general formulation for the significance testing when the samples are independent. The fact that there may be uncountable many different types of dependencies that prevents us from having a similar analysis protocol for ''all'' dependent sample cases. However, in one specific case - paired samples - we have a theory to generalize the significance testing analysis protocol. Two populations (or samples) are ''dependent because of pairing'' (or paired) if they are linked in some way, usually by a direct relationship. For example, measure the weight of subjects before and after a six month diet.

===Paired Designs===
These are the most common '''Paired Designs''', in which the idea of pairing is that members of a pair are similar to each other with respect to extraneous variables.

*Randomized block experiments with two units per block
*Observational studies with individually matched controls (e.g., clinical trials of drug efficacy - patient pre vs. post treatment results are compared)
*Repeated (time or treatment affected) measurements on the same individual
*Blocking by time – formed implicitly when replicate measurements are made at different times.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* The standard error of <math>\overline{x}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}</math>.

===Analysis Protocol for Paired Designs===
To study paired data, we would like to examine the differences between each pair. Suppose {<math>X_1, X_2, X_3, \cdots , X_n</math>} and {<math>Y_1, Y_2, Y_3, \cdots , Y_n</math>} represent the 2 paired samples. Then we want to study the difference sample {<math>d_1=X_1-Y_1, d_2=X_2-Y_2, d_3=X_3-Y_3, \cdots , d_n=X_n-Y_n</math>}. Notice the effect of the pairings of each <math>X_i</math> and <math>Y_i</math>.

Now we can clearly see that the group effect (group differences) is directly represented in the {<math>d_i</math>} sequence. The [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance | one-sample T test]] is the proper strategy to analyze the difference sample {<math>d_i</math>}, if the <math>X_i</math> and <math>Y_i</math> samples come from [[AP_Statistics_Curriculum_2007#Chapter_V:_Normal_Probability_Distribution |Normal distributions]].

Since we are focusing on the differences, we can use the same reasoning as we did in the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance |single sample case]] to calculate the standard error (i.e., the standard deviation of the sampling distribution of <math>\overline{d}</math>) of <math>\overline{d}={1\over n}\sum_{i=1}^n{d_i}</math>.

Thus, the standard error of <math>\overline{d}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}</math>, where <math>d_i=X_i-Y_i, \forall 1\leq i\leq n</math>.

===[[AP_Statistics_Curriculum_2007_Estim_S_Mean | Confidence Interval]] of the Difference of Means===
The interval estimation of the difference of two means (or '''Confidence intervals''') is constructed as follows. Choose a confidence level <math>(1-\alpha)100%</math>, where <math>\alpha</math> is small (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.). Then a <math>(1-\alpha)100%</math> confidence interval for <math>\mu_1 - \mu_2</math> is defined in terms of the T-distribution:
: <math>CI(\alpha): \overline{x}-\overline{y} \pm t_{\alpha\over 2} SE(\overline {x}-\overline{y}) = \overline{d} \pm t_{\alpha\over 2} {1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}</math>

* <math>t_{\alpha\over 2}</math> is the [[AP_Statistics_Curriculum_2007_StudentsT | critical value for the T(df=sample-size -1) distribution at <math>{\alpha\over 2}</math>]].

Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

===[[EBook#Chapter_VIII:_Hypothesis_Testing | Hypothesis Testing]] about the Difference of Means===
* Null Hypothesis: <math>H_o: \mu_1-\mu_2=\mu_o</math> (e.g., <math>\mu_1-\mu_2=0</math>)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu_1 -\mu_2>\mu_o</math>, or <math>H_1: \mu_1-\mu_2<\mu_o</math>
** Double sided: <math>H_1: \mu_1 - \mu_2 \not= \mu_o</math>

====Test Statistics====
* If the two populations that the {<math>X_i</math>} and {<math>Y_i</math>} samples were drawn from are approximately Normal, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test Statistics] is:
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {\overline{d} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}} \sim T_{(df=n-1)}</math>.

====Effects of Ignoring the Pairing====
The SE estimate will be '''smaller''' for correctly paired data. If we look within each sample at the data, we notice variation from one subject to the next. This information gets incorporated into the SE for the independent t-test via <math>s_1</math> and <math>s_2</math>. The original reason we paired was to try to control for some of this inter-subject variation, which is not of interest in the paired design. Notice that the inter-subject variation has no influence on the SE for the paired test, because only the differences were used in the calculation. The price of pairing is smaller degrees of freedom of the T-test. However, this can be compensated with a smaller SE if we had paired correctly.

'''Pairing''' is used to ''reduce'' bias and ''increase'' precision in our inference. By '''matching/blocking''' we can control variation due to extraneous variables.

For example, if two groups are matched on age, then a comparison between the groups is free of any bias due to a difference in age distribution.

Pairing is a strategy of design, not an analysis tool. Pairing needs to be carried out before the data are observed. It is not correct to use the observations to make pairs after the data has been collected.

===Example===
Suppose we measure the thickness of plaque (mm) in the carotid artery of 10 randomly selected patients with [http://www.heartcheckamerica.com/cas_more.htm mild atherosclerotic disease]. Two measurements are taken, thickness before treatment with Vitamin E (baseline) and after two years of taking Vitamin E daily. Formulate testable hypothesis and make inference about the effect of the treatment at <math>\alpha=0.05</math>.

*What makes this paired data rather than independent data?

* Why would we want to use pairing in this example?

====Data in row format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
| Before || 0.66,0.72,0.85,0.62,0.59,0.63,0.64,0.7,0.73,0.68
|-
| After || 0.6,0.65,0.79,0.63,0.54,0.55,0.62,0.67,0.68,0.64
|}
</center>

====Data in column format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
! Subject || Before || After || Difference
|-
| 1 || 0.66 || 0.60 || 0.06
|-
| 2 || 0.72 || 0.65 || 0.07
|-
| 3 || 0.85 || 0.79 || 0.06
|-
| 4 || 0.62 || 0.63 || -0.01
|-
| 5 || 0.59 || 0.54 || 0.05
|-
| 6 || 0.63 || 0.55 || 0.08
|-
| 7 || 0.64 || 0.62 || 0.02
|-
| 8 || 0.70 || 0.67 || 0.03
|-
| 9 || 0.73 || 0.68 || 0.05
|-
| 10 || 0.68 || 0.64 || 0.04
|-
! Mean || 0.682 || 0.637 || 0.045
|-
! SD || 0.0742 || 0.0709 || 0.0264
|}
</center>

====[[AP_Statistics_Curriculum_2007_EDA_Plots |Exploratory Data Analysis]]====
We begin first by exploring the data visually using various [[AP_Statistics_Curriculum_2007_EDA_Plots | SOCR EDA Tools]].

* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig1.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_BoxPlot| Box-And-Whisker Plot]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig2.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_IndexChart | Index plot]] of the differences
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig3.jpg|600px]]</center>

====Inference====
* Null Hypothesis: <math>H_o: \mu_{before}-\mu_{after}=0</math>
* (One-sided) Alternative Research Hypotheses: <math>H_1: \mu_{before} -\mu_{after}>0</math>.

* Test statistics: We can use the sample summary statistics to compute the [[AP_Statistics_Curriculum_2007_Infer_2Means_Dep#Test_Statistics |T-statistic]]: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} \sim T(df=9)</math>
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {0.045 - 0 \over {{1\over \sqrt{10}} \sqrt{\sum_{i=1}^{10}{(d_i-0.045)^2\over 9}}})}= {0.045 \over 0.00833}=5.4022</math>.

: <math>p-value=P(T_{(df=9)}>T_o=5.4022)=0.000216</math> for this (one-sided) test.

Therefore, we '''can reject''' the null hypothesis at <math>\alpha=0.05</math>! The left white area at the tails of the T(df=9) distribution depicts graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, this area is 0.000216, which is much smaller than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.05</math> and we reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig4.jpg|600px]]</center>

* You can also use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig5.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Sample T-test Activity]] provides additional hands-on demonstrations of the one-sample hypothesis testing for the difference in paired experiments.

* <math>95%=(1-0.05)100%</math> (<math>\alpha=0.05</math>) Confidence interval (before-after):
: <math>CI(\mu_{before}-\mu_{after})</math>: <math>\overline{d} \pm t_{\alpha\over 2} SE(\overline {d}) = 0.045 \pm 1.833 \times 0.00833 = [0.0297 ; 0.0603].</math>

====Conclusion====
These data show that the true mean thickness of plaque after two years of treatment with Vitamin E is statistically significantly different than before the treatment (p =0.000216). In other words, vitamin E appears to be an effective in changing carotid artery plaque after treatment. The practical effect does appear to be < 60 microns; however, this may be clinically sufficient and justify patient treatment.

====Paired Test Validity====
Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid, we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

The plots below indicate that Normal assumptions are not unreasonable for these data, and hence we may be justified in using the one-sample T-test in this case.

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality |Quantile-Quantile Data-Data plot]] of the two datasets:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig6.jpg|600px]]</center>

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality | QQ-Normal plot]] of the before data:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig7.jpg|600px]]</center>

====Paired vs. Independent Testing====
Suppose we accidentally analyzed the groups independently (using the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent T-test]]) rather than using this paired test (this would be an incorrect way of analyzing this ''before-after'' data). How would this change our results and findings?
: \(T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} \sim T(df=17)\)
: \(T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} = {0.682 -0.637- 0 \over \sqrt{SE^2(\overline{x})+SE^2(\overline{y})}}= \) \({0.682 -0.637\over \sqrt{{0.0742^2\over 10}+ {0.0709^2\over 10}}}={0.682 -0.637\over 0.0325}=1.38\)
: \(p-value=P(T>1.38)= 0.100449\) and we would have failed to reject the null-hypothesis ('''[[AP_Statistics_Curriculum_2007_Infer_2Means_Dep#Inference|incorrect!]]''')

Similarly, had we incorrectly used the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent design]] and constructed a corresponding Confidence interval, we would obtain an incorrect inference:
: \(CI: {\overline{x}-\overline{y} - \mu_o \pm t_{(df=17, \alpha/2)} \times SE(\overline{x}+\overline{y})} = \) \(0.045 \pm 1.740\times 0.0325 = [-0.0116 ; 0.1016].\)

<hr>

===[[EBook_Problems_Infer_2Means_Dep|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Infer_2Means_Dep}}

AP Statistics Curriculum 2007 Infer 2Means Dep

2013-06-17T20:04:04Z

IvoDinov: /* Paired vs. Independent Testing */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Inferences about Two Means: Dependent Samples==

In the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean | previous chapter we saw how to do significance testing in the case of a single random sample]]. Now, we show how to do hypothesis testing comparing two samples and we begin with the simple case of paired samples.

=== Inferences About Two Means: Dependent Samples===
In all study designs, it is always critical to clearly identify whether samples we compare come from dependent or independent populations. There is a general formulation for the significance testing when the samples are independent. The fact that there may be uncountable many different types of dependencies that prevents us from having a similar analysis protocol for ''all'' dependent sample cases. However, in one specific case - paired samples - we have a theory to generalize the significance testing analysis protocol. Two populations (or samples) are ''dependent because of pairing'' (or paired) if they are linked in some way, usually by a direct relationship. For example, measure the weight of subjects before and after a six month diet.

===Paired Designs===
These are the most common '''Paired Designs''', in which the idea of pairing is that members of a pair are similar to each other with respect to extraneous variables.

*Randomized block experiments with two units per block
*Observational studies with individually matched controls (e.g., clinical trials of drug efficacy - patient pre vs. post treatment results are compared)
*Repeated (time or treatment affected) measurements on the same individual
*Blocking by time – formed implicitly when replicate measurements are made at different times.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* The standard error of <math>\overline{x}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}</math>.

===Analysis Protocol for Paired Designs===
To study paired data, we would like to examine the differences between each pair. Suppose {<math>X_1, X_2, X_3, \cdots , X_n</math>} and {<math>Y_1, Y_2, Y_3, \cdots , Y_n</math>} represent the 2 paired samples. Then we want to study the difference sample {<math>d_1=X_1-Y_1, d_2=X_2-Y_2, d_3=X_3-Y_3, \cdots , d_n=X_n-Y_n</math>}. Notice the effect of the pairings of each <math>X_i</math> and <math>Y_i</math>.

Now we can clearly see that the group effect (group differences) is directly represented in the {<math>d_i</math>} sequence. The [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance | one-sample T test]] is the proper strategy to analyze the difference sample {<math>d_i</math>}, if the <math>X_i</math> and <math>Y_i</math> samples come from [[AP_Statistics_Curriculum_2007#Chapter_V:_Normal_Probability_Distribution |Normal distributions]].

Since we are focusing on the differences, we can use the same reasoning as we did in the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance |single sample case]] to calculate the standard error (i.e., the standard deviation of the sampling distribution of <math>\overline{d}</math>) of <math>\overline{d}={1\over n}\sum_{i=1}^n{d_i}</math>.

Thus, the standard error of <math>\overline{d}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}</math>, where <math>d_i=X_i-Y_i, \forall 1\leq i\leq n</math>.

===[[AP_Statistics_Curriculum_2007_Estim_S_Mean | Confidence Interval]] of the Difference of Means===
The interval estimation of the difference of two means (or '''Confidence intervals''') is constructed as follows. Choose a confidence level <math>(1-\alpha)100%</math>, where <math>\alpha</math> is small (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.). Then a <math>(1-\alpha)100%</math> confidence interval for <math>\mu_1 - \mu_2</math> is defined in terms of the T-distribution:
: <math>CI(\alpha): \overline{x}-\overline{y} \pm t_{\alpha\over 2} SE(\overline {x}-\overline{y}) = \overline{d} \pm t_{\alpha\over 2} {1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}</math>

* <math>t_{\alpha\over 2}</math> is the [[AP_Statistics_Curriculum_2007_StudentsT | critical value for the T(df=sample-size -1) distribution at <math>{\alpha\over 2}</math>]].

Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

===[[EBook#Chapter_VIII:_Hypothesis_Testing | Hypothesis Testing]] about the Difference of Means===
* Null Hypothesis: <math>H_o: \mu_1-\mu_2=\mu_o</math> (e.g., <math>\mu_1-\mu_2=0</math>)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu_1 -\mu_2>\mu_o</math>, or <math>H_1: \mu_1-\mu_2<\mu_o</math>
** Double sided: <math>H_1: \mu_1 - \mu_2 \not= \mu_o</math>

====Test Statistics====
* If the two populations that the {<math>X_i</math>} and {<math>Y_i</math>} samples were drawn from are approximately Normal, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test Statistics] is:
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {\overline{d} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}} \sim T_{(df=n-1)}</math>.

====Effects of Ignoring the Pairing====
The SE estimate will be '''smaller''' for correctly paired data. If we look within each sample at the data, we notice variation from one subject to the next. This information gets incorporated into the SE for the independent t-test via <math>s_1</math> and <math>s_2</math>. The original reason we paired was to try to control for some of this inter-subject variation, which is not of interest in the paired design. Notice that the inter-subject variation has no influence on the SE for the paired test, because only the differences were used in the calculation. The price of pairing is smaller degrees of freedom of the T-test. However, this can be compensated with a smaller SE if we had paired correctly.

'''Pairing''' is used to ''reduce'' bias and ''increase'' precision in our inference. By '''matching/blocking''' we can control variation due to extraneous variables.

For example, if two groups are matched on age, then a comparison between the groups is free of any bias due to a difference in age distribution.

Pairing is a strategy of design, not an analysis tool. Pairing needs to be carried out before the data are observed. It is not correct to use the observations to make pairs after the data has been collected.

===Example===
Suppose we measure the thickness of plaque (mm) in the carotid artery of 10 randomly selected patients with [http://www.heartcheckamerica.com/cas_more.htm mild atherosclerotic disease]. Two measurements are taken, thickness before treatment with Vitamin E (baseline) and after two years of taking Vitamin E daily. Formulate testable hypothesis and make inference about the effect of the treatment at <math>\alpha=0.05</math>.

*What makes this paired data rather than independent data?

* Why would we want to use pairing in this example?

====Data in row format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
| Before || 0.66,0.72,0.85,0.62,0.59,0.63,0.64,0.7,0.73,0.68
|-
| After || 0.6,0.65,0.79,0.63,0.54,0.55,0.62,0.67,0.68,0.64
|}
</center>

====Data in column format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
! Subject || Before || After || Difference
|-
| 1 || 0.66 || 0.60 || 0.06
|-
| 2 || 0.72 || 0.65 || 0.07
|-
| 3 || 0.85 || 0.79 || 0.06
|-
| 4 || 0.62 || 0.63 || -0.01
|-
| 5 || 0.59 || 0.54 || 0.05
|-
| 6 || 0.63 || 0.55 || 0.08
|-
| 7 || 0.64 || 0.62 || 0.02
|-
| 8 || 0.70 || 0.67 || 0.03
|-
| 9 || 0.73 || 0.68 || 0.05
|-
| 10 || 0.68 || 0.64 || 0.04
|-
! Mean || 0.682 || 0.637 || 0.045
|-
! SD || 0.0742 || 0.0709 || 0.0264
|}
</center>

====[[AP_Statistics_Curriculum_2007_EDA_Plots |Exploratory Data Analysis]]====
We begin first by exploring the data visually using various [[AP_Statistics_Curriculum_2007_EDA_Plots | SOCR EDA Tools]].

* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig1.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_BoxPlot| Box-And-Whisker Plot]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig2.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_IndexChart | Index plot]] of the differences
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig3.jpg|600px]]</center>

====Inference====
* Null Hypothesis: <math>H_o: \mu_{before}-\mu_{after}=0</math>
* (One-sided) Alternative Research Hypotheses: <math>H_1: \mu_{before} -\mu_{after}>0</math>.

* Test statistics: We can use the sample summary statistics to compute the [[AP_Statistics_Curriculum_2007_Infer_2Means_Dep#Test_Statistics |T-statistic]]: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} \sim T(df=9)</math>
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {0.045 - 0 \over {{1\over \sqrt{10}} \sqrt{\sum_{i=1}^{10}{(d_i-0.045)^2\over 9}}})}= {0.045 \over 0.00833}=5.4022</math>.

: <math>p-value=P(T_{(df=9)}>T_o=5.4022)=0.000216</math> for this (one-sided) test.

Therefore, we '''can reject''' the null hypothesis at <math>\alpha=0.05</math>! The left white area at the tails of the T(df=9) distribution depicts graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, this area is 0.000216, which is much smaller than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.05</math> and we reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig4.jpg|600px]]</center>

* You can also use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig5.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Sample T-test Activity]] provides additional hands-on demonstrations of the one-sample hypothesis testing for the difference in paired experiments.

* <math>95%=(1-0.05)100%</math> (<math>\alpha=0.05</math>) Confidence interval (before-after):
: <math>CI(\mu_{before}-\mu_{after})</math>: <math>\overline{d} \pm t_{\alpha\over 2} SE(\overline {d}) = 0.045 \pm 1.833 \times 0.00833 = [0.0297 ; 0.0603].</math>

====Conclusion====
These data show that the true mean thickness of plaque after two years of treatment with Vitamin E is statistically significantly different than before the treatment (p =0.000216). In other words, vitamin E appears to be an effective in changing carotid artery plaque after treatment. The practical effect does appear to be < 60 microns; however, this may be clinically sufficient and justify patient treatment.

====Paired Test Validity====
Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid, we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

The plots below indicate that Normal assumptions are not unreasonable for these data, and hence we may be justified in using the one-sample T-test in this case.

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality |Quantile-Quantile Data-Data plot]] of the two datasets:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig6.jpg|600px]]</center>

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality | QQ-Normal plot]] of the before data:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig7.jpg|600px]]</center>

====Paired vs. Independent Testing====
Suppose we accidentally analyzed the groups independently (using the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent T-test]]) rather than using this paired test (this would be an incorrect way of analyzing this ''before-after'' data). How would this change our results and findings?
: \(T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} \sim T(df=17)\)
: \(T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} = {0.682 -0.637- 0 \over \sqrt{SE^2(\overline{x})+SE^2(\overline{y})}}= \) \({0.682 -0.637\over \sqrt{{0.0742^2\over 10}+ {0.0709^2\over 10}}}={0.682 -0.637\over 0.0325}=1.38\)
: \(p-value=P(T>1.38)= 0.100449\) and we would have failed to reject the null-hypothesis ('''incorrect!''')

Similarly, had we incorrectly used the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent design]] and constructed a corresponding Confidence interval, we would obtain an incorrect inference:
: \(CI: {\overline{x}-\overline{y} - \mu_o \pm t_{(df=17, \alpha/2)} \times SE(\overline{x}+\overline{y})} = \) \(0.045 \pm 1.740\times 0.0325 = [-0.0116 ; 0.1016].\)

<hr>

===[[EBook_Problems_Infer_2Means_Dep|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Infer_2Means_Dep}}

AP Statistics Curriculum 2007 Infer 2Means Dep

2013-06-17T20:02:29Z

IvoDinov: /* Paired vs. Independent Testing */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Inferences about Two Means: Dependent Samples==

In the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean | previous chapter we saw how to do significance testing in the case of a single random sample]]. Now, we show how to do hypothesis testing comparing two samples and we begin with the simple case of paired samples.

=== Inferences About Two Means: Dependent Samples===
In all study designs, it is always critical to clearly identify whether samples we compare come from dependent or independent populations. There is a general formulation for the significance testing when the samples are independent. The fact that there may be uncountable many different types of dependencies that prevents us from having a similar analysis protocol for ''all'' dependent sample cases. However, in one specific case - paired samples - we have a theory to generalize the significance testing analysis protocol. Two populations (or samples) are ''dependent because of pairing'' (or paired) if they are linked in some way, usually by a direct relationship. For example, measure the weight of subjects before and after a six month diet.

===Paired Designs===
These are the most common '''Paired Designs''', in which the idea of pairing is that members of a pair are similar to each other with respect to extraneous variables.

*Randomized block experiments with two units per block
*Observational studies with individually matched controls (e.g., clinical trials of drug efficacy - patient pre vs. post treatment results are compared)
*Repeated (time or treatment affected) measurements on the same individual
*Blocking by time – formed implicitly when replicate measurements are made at different times.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* The standard error of <math>\overline{x}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}</math>.

===Analysis Protocol for Paired Designs===
To study paired data, we would like to examine the differences between each pair. Suppose {<math>X_1, X_2, X_3, \cdots , X_n</math>} and {<math>Y_1, Y_2, Y_3, \cdots , Y_n</math>} represent the 2 paired samples. Then we want to study the difference sample {<math>d_1=X_1-Y_1, d_2=X_2-Y_2, d_3=X_3-Y_3, \cdots , d_n=X_n-Y_n</math>}. Notice the effect of the pairings of each <math>X_i</math> and <math>Y_i</math>.

Now we can clearly see that the group effect (group differences) is directly represented in the {<math>d_i</math>} sequence. The [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance | one-sample T test]] is the proper strategy to analyze the difference sample {<math>d_i</math>}, if the <math>X_i</math> and <math>Y_i</math> samples come from [[AP_Statistics_Curriculum_2007#Chapter_V:_Normal_Probability_Distribution |Normal distributions]].

Since we are focusing on the differences, we can use the same reasoning as we did in the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance |single sample case]] to calculate the standard error (i.e., the standard deviation of the sampling distribution of <math>\overline{d}</math>) of <math>\overline{d}={1\over n}\sum_{i=1}^n{d_i}</math>.

Thus, the standard error of <math>\overline{d}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}</math>, where <math>d_i=X_i-Y_i, \forall 1\leq i\leq n</math>.

===[[AP_Statistics_Curriculum_2007_Estim_S_Mean | Confidence Interval]] of the Difference of Means===
The interval estimation of the difference of two means (or '''Confidence intervals''') is constructed as follows. Choose a confidence level <math>(1-\alpha)100%</math>, where <math>\alpha</math> is small (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.). Then a <math>(1-\alpha)100%</math> confidence interval for <math>\mu_1 - \mu_2</math> is defined in terms of the T-distribution:
: <math>CI(\alpha): \overline{x}-\overline{y} \pm t_{\alpha\over 2} SE(\overline {x}-\overline{y}) = \overline{d} \pm t_{\alpha\over 2} {1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}</math>

* <math>t_{\alpha\over 2}</math> is the [[AP_Statistics_Curriculum_2007_StudentsT | critical value for the T(df=sample-size -1) distribution at <math>{\alpha\over 2}</math>]].

Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

===[[EBook#Chapter_VIII:_Hypothesis_Testing | Hypothesis Testing]] about the Difference of Means===
* Null Hypothesis: <math>H_o: \mu_1-\mu_2=\mu_o</math> (e.g., <math>\mu_1-\mu_2=0</math>)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu_1 -\mu_2>\mu_o</math>, or <math>H_1: \mu_1-\mu_2<\mu_o</math>
** Double sided: <math>H_1: \mu_1 - \mu_2 \not= \mu_o</math>

====Test Statistics====
* If the two populations that the {<math>X_i</math>} and {<math>Y_i</math>} samples were drawn from are approximately Normal, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test Statistics] is:
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {\overline{d} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}} \sim T_{(df=n-1)}</math>.

====Effects of Ignoring the Pairing====
The SE estimate will be '''smaller''' for correctly paired data. If we look within each sample at the data, we notice variation from one subject to the next. This information gets incorporated into the SE for the independent t-test via <math>s_1</math> and <math>s_2</math>. The original reason we paired was to try to control for some of this inter-subject variation, which is not of interest in the paired design. Notice that the inter-subject variation has no influence on the SE for the paired test, because only the differences were used in the calculation. The price of pairing is smaller degrees of freedom of the T-test. However, this can be compensated with a smaller SE if we had paired correctly.

'''Pairing''' is used to ''reduce'' bias and ''increase'' precision in our inference. By '''matching/blocking''' we can control variation due to extraneous variables.

For example, if two groups are matched on age, then a comparison between the groups is free of any bias due to a difference in age distribution.

Pairing is a strategy of design, not an analysis tool. Pairing needs to be carried out before the data are observed. It is not correct to use the observations to make pairs after the data has been collected.

===Example===
Suppose we measure the thickness of plaque (mm) in the carotid artery of 10 randomly selected patients with [http://www.heartcheckamerica.com/cas_more.htm mild atherosclerotic disease]. Two measurements are taken, thickness before treatment with Vitamin E (baseline) and after two years of taking Vitamin E daily. Formulate testable hypothesis and make inference about the effect of the treatment at <math>\alpha=0.05</math>.

*What makes this paired data rather than independent data?

* Why would we want to use pairing in this example?

====Data in row format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
| Before || 0.66,0.72,0.85,0.62,0.59,0.63,0.64,0.7,0.73,0.68
|-
| After || 0.6,0.65,0.79,0.63,0.54,0.55,0.62,0.67,0.68,0.64
|}
</center>

====Data in column format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
! Subject || Before || After || Difference
|-
| 1 || 0.66 || 0.60 || 0.06
|-
| 2 || 0.72 || 0.65 || 0.07
|-
| 3 || 0.85 || 0.79 || 0.06
|-
| 4 || 0.62 || 0.63 || -0.01
|-
| 5 || 0.59 || 0.54 || 0.05
|-
| 6 || 0.63 || 0.55 || 0.08
|-
| 7 || 0.64 || 0.62 || 0.02
|-
| 8 || 0.70 || 0.67 || 0.03
|-
| 9 || 0.73 || 0.68 || 0.05
|-
| 10 || 0.68 || 0.64 || 0.04
|-
! Mean || 0.682 || 0.637 || 0.045
|-
! SD || 0.0742 || 0.0709 || 0.0264
|}
</center>

====[[AP_Statistics_Curriculum_2007_EDA_Plots |Exploratory Data Analysis]]====
We begin first by exploring the data visually using various [[AP_Statistics_Curriculum_2007_EDA_Plots | SOCR EDA Tools]].

* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig1.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_BoxPlot| Box-And-Whisker Plot]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig2.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_IndexChart | Index plot]] of the differences
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig3.jpg|600px]]</center>

====Inference====
* Null Hypothesis: <math>H_o: \mu_{before}-\mu_{after}=0</math>
* (One-sided) Alternative Research Hypotheses: <math>H_1: \mu_{before} -\mu_{after}>0</math>.

* Test statistics: We can use the sample summary statistics to compute the [[AP_Statistics_Curriculum_2007_Infer_2Means_Dep#Test_Statistics |T-statistic]]: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} \sim T(df=9)</math>
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {0.045 - 0 \over {{1\over \sqrt{10}} \sqrt{\sum_{i=1}^{10}{(d_i-0.045)^2\over 9}}})}= {0.045 \over 0.00833}=5.4022</math>.

: <math>p-value=P(T_{(df=9)}>T_o=5.4022)=0.000216</math> for this (one-sided) test.

Therefore, we '''can reject''' the null hypothesis at <math>\alpha=0.05</math>! The left white area at the tails of the T(df=9) distribution depicts graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, this area is 0.000216, which is much smaller than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.05</math> and we reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig4.jpg|600px]]</center>

* You can also use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig5.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Sample T-test Activity]] provides additional hands-on demonstrations of the one-sample hypothesis testing for the difference in paired experiments.

* <math>95%=(1-0.05)100%</math> (<math>\alpha=0.05</math>) Confidence interval (before-after):
: <math>CI(\mu_{before}-\mu_{after})</math>: <math>\overline{d} \pm t_{\alpha\over 2} SE(\overline {d}) = 0.045 \pm 1.833 \times 0.00833 = [0.0297 ; 0.0603].</math>

====Conclusion====
These data show that the true mean thickness of plaque after two years of treatment with Vitamin E is statistically significantly different than before the treatment (p =0.000216). In other words, vitamin E appears to be an effective in changing carotid artery plaque after treatment. The practical effect does appear to be < 60 microns; however, this may be clinically sufficient and justify patient treatment.

====Paired Test Validity====
Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid, we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

The plots below indicate that Normal assumptions are not unreasonable for these data, and hence we may be justified in using the one-sample T-test in this case.

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality |Quantile-Quantile Data-Data plot]] of the two datasets:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig6.jpg|600px]]</center>

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality | QQ-Normal plot]] of the before data:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig7.jpg|600px]]</center>

====Paired vs. Independent Testing====
Suppose we accidentally analyzed the groups independently (using the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent T-test]]) rather than using this paired test (this would be an incorrect way of analyzing this ''before-after'' data). How would this change our results and findings?
: <math>T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} \sim T(df=17)</math>
: <math>T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} = {0.682 -0.637- 0 \over \sqrt{SE^2(\overline{x})+SE^2(\overline{y})}}= {0.682 -0.637\over \sqrt{{0.0742^2\over 10}+ {0.0709^2\over 10}}}={0.682 -0.637\over 0.0325}=1.38</math>
: <math>p-value=P(T>1.38)= 0.100449</math> and we would have failed to reject the null-hypothesis ('''incorrect!''')

Similarly, had we incorrectly used the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent design]] and constructed a corresponding Confidence interval, we would obtain an incorrect inference:
: <math>CI: {\overline{x}-\overline{y} - \mu_o \pm t_{(df=17, \alpha/2)} \times SE(\overline{x}+\overline{y})} = 0.045 \pm 1.740\times 0.0325 = [-0.0116 ; 0.1016]</math>

<hr>

===[[EBook_Problems_Infer_2Means_Dep|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Infer_2Means_Dep}}

AP Statistics Curriculum 2007 Infer 2Means Dep

2013-06-17T19:57:55Z

IvoDinov: /* Paired vs. Independent Testing */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Inferences about Two Means: Dependent Samples==

In the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean | previous chapter we saw how to do significance testing in the case of a single random sample]]. Now, we show how to do hypothesis testing comparing two samples and we begin with the simple case of paired samples.

=== Inferences About Two Means: Dependent Samples===
In all study designs, it is always critical to clearly identify whether samples we compare come from dependent or independent populations. There is a general formulation for the significance testing when the samples are independent. The fact that there may be uncountable many different types of dependencies that prevents us from having a similar analysis protocol for ''all'' dependent sample cases. However, in one specific case - paired samples - we have a theory to generalize the significance testing analysis protocol. Two populations (or samples) are ''dependent because of pairing'' (or paired) if they are linked in some way, usually by a direct relationship. For example, measure the weight of subjects before and after a six month diet.

===Paired Designs===
These are the most common '''Paired Designs''', in which the idea of pairing is that members of a pair are similar to each other with respect to extraneous variables.

*Randomized block experiments with two units per block
*Observational studies with individually matched controls (e.g., clinical trials of drug efficacy - patient pre vs. post treatment results are compared)
*Repeated (time or treatment affected) measurements on the same individual
*Blocking by time – formed implicitly when replicate measurements are made at different times.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* The standard error of <math>\overline{x}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}</math>.

===Analysis Protocol for Paired Designs===
To study paired data, we would like to examine the differences between each pair. Suppose {<math>X_1, X_2, X_3, \cdots , X_n</math>} and {<math>Y_1, Y_2, Y_3, \cdots , Y_n</math>} represent the 2 paired samples. Then we want to study the difference sample {<math>d_1=X_1-Y_1, d_2=X_2-Y_2, d_3=X_3-Y_3, \cdots , d_n=X_n-Y_n</math>}. Notice the effect of the pairings of each <math>X_i</math> and <math>Y_i</math>.

Now we can clearly see that the group effect (group differences) is directly represented in the {<math>d_i</math>} sequence. The [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance | one-sample T test]] is the proper strategy to analyze the difference sample {<math>d_i</math>}, if the <math>X_i</math> and <math>Y_i</math> samples come from [[AP_Statistics_Curriculum_2007#Chapter_V:_Normal_Probability_Distribution |Normal distributions]].

Since we are focusing on the differences, we can use the same reasoning as we did in the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance |single sample case]] to calculate the standard error (i.e., the standard deviation of the sampling distribution of <math>\overline{d}</math>) of <math>\overline{d}={1\over n}\sum_{i=1}^n{d_i}</math>.

Thus, the standard error of <math>\overline{d}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}</math>, where <math>d_i=X_i-Y_i, \forall 1\leq i\leq n</math>.

===[[AP_Statistics_Curriculum_2007_Estim_S_Mean | Confidence Interval]] of the Difference of Means===
The interval estimation of the difference of two means (or '''Confidence intervals''') is constructed as follows. Choose a confidence level <math>(1-\alpha)100%</math>, where <math>\alpha</math> is small (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.). Then a <math>(1-\alpha)100%</math> confidence interval for <math>\mu_1 - \mu_2</math> is defined in terms of the T-distribution:
: <math>CI(\alpha): \overline{x}-\overline{y} \pm t_{\alpha\over 2} SE(\overline {x}-\overline{y}) = \overline{d} \pm t_{\alpha\over 2} {1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}</math>

* <math>t_{\alpha\over 2}</math> is the [[AP_Statistics_Curriculum_2007_StudentsT | critical value for the T(df=sample-size -1) distribution at <math>{\alpha\over 2}</math>]].

Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

===[[EBook#Chapter_VIII:_Hypothesis_Testing | Hypothesis Testing]] about the Difference of Means===
* Null Hypothesis: <math>H_o: \mu_1-\mu_2=\mu_o</math> (e.g., <math>\mu_1-\mu_2=0</math>)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu_1 -\mu_2>\mu_o</math>, or <math>H_1: \mu_1-\mu_2<\mu_o</math>
** Double sided: <math>H_1: \mu_1 - \mu_2 \not= \mu_o</math>

====Test Statistics====
* If the two populations that the {<math>X_i</math>} and {<math>Y_i</math>} samples were drawn from are approximately Normal, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test Statistics] is:
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {\overline{d} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}} \sim T_{(df=n-1)}</math>.

====Effects of Ignoring the Pairing====
The SE estimate will be '''smaller''' for correctly paired data. If we look within each sample at the data, we notice variation from one subject to the next. This information gets incorporated into the SE for the independent t-test via <math>s_1</math> and <math>s_2</math>. The original reason we paired was to try to control for some of this inter-subject variation, which is not of interest in the paired design. Notice that the inter-subject variation has no influence on the SE for the paired test, because only the differences were used in the calculation. The price of pairing is smaller degrees of freedom of the T-test. However, this can be compensated with a smaller SE if we had paired correctly.

'''Pairing''' is used to ''reduce'' bias and ''increase'' precision in our inference. By '''matching/blocking''' we can control variation due to extraneous variables.

For example, if two groups are matched on age, then a comparison between the groups is free of any bias due to a difference in age distribution.

Pairing is a strategy of design, not an analysis tool. Pairing needs to be carried out before the data are observed. It is not correct to use the observations to make pairs after the data has been collected.

===Example===
Suppose we measure the thickness of plaque (mm) in the carotid artery of 10 randomly selected patients with [http://www.heartcheckamerica.com/cas_more.htm mild atherosclerotic disease]. Two measurements are taken, thickness before treatment with Vitamin E (baseline) and after two years of taking Vitamin E daily. Formulate testable hypothesis and make inference about the effect of the treatment at <math>\alpha=0.05</math>.

*What makes this paired data rather than independent data?

* Why would we want to use pairing in this example?

====Data in row format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
| Before || 0.66,0.72,0.85,0.62,0.59,0.63,0.64,0.7,0.73,0.68
|-
| After || 0.6,0.65,0.79,0.63,0.54,0.55,0.62,0.67,0.68,0.64
|}
</center>

====Data in column format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
! Subject || Before || After || Difference
|-
| 1 || 0.66 || 0.60 || 0.06
|-
| 2 || 0.72 || 0.65 || 0.07
|-
| 3 || 0.85 || 0.79 || 0.06
|-
| 4 || 0.62 || 0.63 || -0.01
|-
| 5 || 0.59 || 0.54 || 0.05
|-
| 6 || 0.63 || 0.55 || 0.08
|-
| 7 || 0.64 || 0.62 || 0.02
|-
| 8 || 0.70 || 0.67 || 0.03
|-
| 9 || 0.73 || 0.68 || 0.05
|-
| 10 || 0.68 || 0.64 || 0.04
|-
! Mean || 0.682 || 0.637 || 0.045
|-
! SD || 0.0742 || 0.0709 || 0.0264
|}
</center>

====[[AP_Statistics_Curriculum_2007_EDA_Plots |Exploratory Data Analysis]]====
We begin first by exploring the data visually using various [[AP_Statistics_Curriculum_2007_EDA_Plots | SOCR EDA Tools]].

* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig1.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_BoxPlot| Box-And-Whisker Plot]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig2.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_IndexChart | Index plot]] of the differences
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig3.jpg|600px]]</center>

====Inference====
* Null Hypothesis: <math>H_o: \mu_{before}-\mu_{after}=0</math>
* (One-sided) Alternative Research Hypotheses: <math>H_1: \mu_{before} -\mu_{after}>0</math>.

* Test statistics: We can use the sample summary statistics to compute the [[AP_Statistics_Curriculum_2007_Infer_2Means_Dep#Test_Statistics |T-statistic]]: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} \sim T(df=9)</math>
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {0.045 - 0 \over {{1\over \sqrt{10}} \sqrt{\sum_{i=1}^{10}{(d_i-0.045)^2\over 9}}})}= {0.045 \over 0.00833}=5.4022</math>.

: <math>p-value=P(T_{(df=9)}>T_o=5.4022)=0.000216</math> for this (one-sided) test.

Therefore, we '''can reject''' the null hypothesis at <math>\alpha=0.05</math>! The left white area at the tails of the T(df=9) distribution depicts graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, this area is 0.000216, which is much smaller than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.05</math> and we reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig4.jpg|600px]]</center>

* You can also use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig5.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Sample T-test Activity]] provides additional hands-on demonstrations of the one-sample hypothesis testing for the difference in paired experiments.

* <math>95%=(1-0.05)100%</math> (<math>\alpha=0.05</math>) Confidence interval (before-after):
: <math>CI(\mu_{before}-\mu_{after})</math>: <math>\overline{d} \pm t_{\alpha\over 2} SE(\overline {d}) = 0.045 \pm 1.833 \times 0.00833 = [0.0297 ; 0.0603].</math>

====Conclusion====
These data show that the true mean thickness of plaque after two years of treatment with Vitamin E is statistically significantly different than before the treatment (p =0.000216). In other words, vitamin E appears to be an effective in changing carotid artery plaque after treatment. The practical effect does appear to be < 60 microns; however, this may be clinically sufficient and justify patient treatment.

====Paired Test Validity====
Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid, we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

The plots below indicate that Normal assumptions are not unreasonable for these data, and hence we may be justified in using the one-sample T-test in this case.

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality |Quantile-Quantile Data-Data plot]] of the two datasets:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig6.jpg|600px]]</center>

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality | QQ-Normal plot]] of the before data:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig7.jpg|600px]]</center>

====Paired vs. Independent Testing====
Suppose we accidentally analyzed the groups independently (using the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent T-test]]) rather than using this paired test (this would be an incorrect way of analyzing this ''before-after'' data). How would this change our results and findings?
: <math>T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} \sim T(df=17)</math>
: <math>T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} = {0.682 -0.687- 0 \over \sqrt{SE^2(\overline{x})+SE^2(\overline{y})}}= {0.682 -0.687\over \sqrt{{0.0742^2\over 10}+ {0.0709^2\over 10}}}={0.682 -0.687\over 0.0325}=1.38</math>
: <math>p-value=P(T>1.38)= 0.100449</math> and we would have failed to reject the null-hypothesis ('''incorrect!''')

Similarly, had we incorrectly used the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent design]] and constructed a corresponding Confidence interval, we would obtain an incorrect inference:
: <math>CI: {\overline{x}-\overline{y} - \mu_o \pm t_{(df=17, \alpha/2)} \times SE(\overline{x}+\overline{y})} = 0.682 -0.687 \pm 1.740\times 0.0325 = [-0.0116 ; 0.1016]</math>

<hr>

===[[EBook_Problems_Infer_2Means_Dep|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Infer_2Means_Dep}}

AP Statistics Curriculum 2007 Infer 2Means Dep

2013-06-17T19:55:52Z

IvoDinov: /* Test Statistics */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Inferences about Two Means: Dependent Samples==

In the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean | previous chapter we saw how to do significance testing in the case of a single random sample]]. Now, we show how to do hypothesis testing comparing two samples and we begin with the simple case of paired samples.

=== Inferences About Two Means: Dependent Samples===
In all study designs, it is always critical to clearly identify whether samples we compare come from dependent or independent populations. There is a general formulation for the significance testing when the samples are independent. The fact that there may be uncountable many different types of dependencies that prevents us from having a similar analysis protocol for ''all'' dependent sample cases. However, in one specific case - paired samples - we have a theory to generalize the significance testing analysis protocol. Two populations (or samples) are ''dependent because of pairing'' (or paired) if they are linked in some way, usually by a direct relationship. For example, measure the weight of subjects before and after a six month diet.

===Paired Designs===
These are the most common '''Paired Designs''', in which the idea of pairing is that members of a pair are similar to each other with respect to extraneous variables.

*Randomized block experiments with two units per block
*Observational studies with individually matched controls (e.g., clinical trials of drug efficacy - patient pre vs. post treatment results are compared)
*Repeated (time or treatment affected) measurements on the same individual
*Blocking by time – formed implicitly when replicate measurements are made at different times.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* The standard error of <math>\overline{x}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}</math>.

===Analysis Protocol for Paired Designs===
To study paired data, we would like to examine the differences between each pair. Suppose {<math>X_1, X_2, X_3, \cdots , X_n</math>} and {<math>Y_1, Y_2, Y_3, \cdots , Y_n</math>} represent the 2 paired samples. Then we want to study the difference sample {<math>d_1=X_1-Y_1, d_2=X_2-Y_2, d_3=X_3-Y_3, \cdots , d_n=X_n-Y_n</math>}. Notice the effect of the pairings of each <math>X_i</math> and <math>Y_i</math>.

Now we can clearly see that the group effect (group differences) is directly represented in the {<math>d_i</math>} sequence. The [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance | one-sample T test]] is the proper strategy to analyze the difference sample {<math>d_i</math>}, if the <math>X_i</math> and <math>Y_i</math> samples come from [[AP_Statistics_Curriculum_2007#Chapter_V:_Normal_Probability_Distribution |Normal distributions]].

Since we are focusing on the differences, we can use the same reasoning as we did in the [[AP_Statistics_Curriculum_2007_Hypothesis_S_Mean#.28Approximately.29_Nornal_Process_with_Unknown_Variance |single sample case]] to calculate the standard error (i.e., the standard deviation of the sampling distribution of <math>\overline{d}</math>) of <math>\overline{d}={1\over n}\sum_{i=1}^n{d_i}</math>.

Thus, the standard error of <math>\overline{d}</math> is given by <math>{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}</math>, where <math>d_i=X_i-Y_i, \forall 1\leq i\leq n</math>.

===[[AP_Statistics_Curriculum_2007_Estim_S_Mean | Confidence Interval]] of the Difference of Means===
The interval estimation of the difference of two means (or '''Confidence intervals''') is constructed as follows. Choose a confidence level <math>(1-\alpha)100%</math>, where <math>\alpha</math> is small (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.). Then a <math>(1-\alpha)100%</math> confidence interval for <math>\mu_1 - \mu_2</math> is defined in terms of the T-distribution:
: <math>CI(\alpha): \overline{x}-\overline{y} \pm t_{\alpha\over 2} SE(\overline {x}-\overline{y}) = \overline{d} \pm t_{\alpha\over 2} {1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}</math>

* <math>t_{\alpha\over 2}</math> is the [[AP_Statistics_Curriculum_2007_StudentsT | critical value for the T(df=sample-size -1) distribution at <math>{\alpha\over 2}</math>]].

Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

===[[EBook#Chapter_VIII:_Hypothesis_Testing | Hypothesis Testing]] about the Difference of Means===
* Null Hypothesis: <math>H_o: \mu_1-\mu_2=\mu_o</math> (e.g., <math>\mu_1-\mu_2=0</math>)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu_1 -\mu_2>\mu_o</math>, or <math>H_1: \mu_1-\mu_2<\mu_o</math>
** Double sided: <math>H_1: \mu_1 - \mu_2 \not= \mu_o</math>

====Test Statistics====
* If the two populations that the {<math>X_i</math>} and {<math>Y_i</math>} samples were drawn from are approximately Normal, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test Statistics] is:
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {\overline{d} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(d_i-\overline{d})^2\over n-1}}}} \sim T_{(df=n-1)}</math>.

====Effects of Ignoring the Pairing====
The SE estimate will be '''smaller''' for correctly paired data. If we look within each sample at the data, we notice variation from one subject to the next. This information gets incorporated into the SE for the independent t-test via <math>s_1</math> and <math>s_2</math>. The original reason we paired was to try to control for some of this inter-subject variation, which is not of interest in the paired design. Notice that the inter-subject variation has no influence on the SE for the paired test, because only the differences were used in the calculation. The price of pairing is smaller degrees of freedom of the T-test. However, this can be compensated with a smaller SE if we had paired correctly.

'''Pairing''' is used to ''reduce'' bias and ''increase'' precision in our inference. By '''matching/blocking''' we can control variation due to extraneous variables.

For example, if two groups are matched on age, then a comparison between the groups is free of any bias due to a difference in age distribution.

Pairing is a strategy of design, not an analysis tool. Pairing needs to be carried out before the data are observed. It is not correct to use the observations to make pairs after the data has been collected.

===Example===
Suppose we measure the thickness of plaque (mm) in the carotid artery of 10 randomly selected patients with [http://www.heartcheckamerica.com/cas_more.htm mild atherosclerotic disease]. Two measurements are taken, thickness before treatment with Vitamin E (baseline) and after two years of taking Vitamin E daily. Formulate testable hypothesis and make inference about the effect of the treatment at <math>\alpha=0.05</math>.

*What makes this paired data rather than independent data?

* Why would we want to use pairing in this example?

====Data in row format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
| Before || 0.66,0.72,0.85,0.62,0.59,0.63,0.64,0.7,0.73,0.68
|-
| After || 0.6,0.65,0.79,0.63,0.54,0.55,0.62,0.67,0.68,0.64
|}
</center>

====Data in column format====
<center>
{| class="wikitable" style="text-align:center; width:55%" border="1"
|-
! Subject || Before || After || Difference
|-
| 1 || 0.66 || 0.60 || 0.06
|-
| 2 || 0.72 || 0.65 || 0.07
|-
| 3 || 0.85 || 0.79 || 0.06
|-
| 4 || 0.62 || 0.63 || -0.01
|-
| 5 || 0.59 || 0.54 || 0.05
|-
| 6 || 0.63 || 0.55 || 0.08
|-
| 7 || 0.64 || 0.62 || 0.02
|-
| 8 || 0.70 || 0.67 || 0.03
|-
| 9 || 0.73 || 0.68 || 0.05
|-
| 10 || 0.68 || 0.64 || 0.04
|-
! Mean || 0.682 || 0.637 || 0.045
|-
! SD || 0.0742 || 0.0709 || 0.0264
|}
</center>

====[[AP_Statistics_Curriculum_2007_EDA_Plots |Exploratory Data Analysis]]====
We begin first by exploring the data visually using various [[AP_Statistics_Curriculum_2007_EDA_Plots | SOCR EDA Tools]].

* [[SOCR_EduMaterials_Activities_LineChart | Line Chart]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig1.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_BoxPlot| Box-And-Whisker Plot]] of the two samples
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig2.jpg|600px]]</center>

* [[SOCR_EduMaterials_Activities_IndexChart | Index plot]] of the differences
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig3.jpg|600px]]</center>

====Inference====
* Null Hypothesis: <math>H_o: \mu_{before}-\mu_{after}=0</math>
* (One-sided) Alternative Research Hypotheses: <math>H_1: \mu_{before} -\mu_{after}>0</math>.

* Test statistics: We can use the sample summary statistics to compute the [[AP_Statistics_Curriculum_2007_Infer_2Means_Dep#Test_Statistics |T-statistic]]: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} \sim T(df=9)</math>
: <math>T_o = {\overline{d} - \mu_o \over SE(\overline{d})} = {0.045 - 0 \over {{1\over \sqrt{10}} \sqrt{\sum_{i=1}^{10}{(d_i-0.045)^2\over 9}}})}= {0.045 \over 0.00833}=5.4022</math>.

: <math>p-value=P(T_{(df=9)}>T_o=5.4022)=0.000216</math> for this (one-sided) test.

Therefore, we '''can reject''' the null hypothesis at <math>\alpha=0.05</math>! The left white area at the tails of the T(df=9) distribution depicts graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, this area is 0.000216, which is much smaller than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.05</math> and we reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig4.jpg|600px]]</center>

* You can also use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig5.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Sample T-test Activity]] provides additional hands-on demonstrations of the one-sample hypothesis testing for the difference in paired experiments.

* <math>95%=(1-0.05)100%</math> (<math>\alpha=0.05</math>) Confidence interval (before-after):
: <math>CI(\mu_{before}-\mu_{after})</math>: <math>\overline{d} \pm t_{\alpha\over 2} SE(\overline {d}) = 0.045 \pm 1.833 \times 0.00833 = [0.0297 ; 0.0603].</math>

====Conclusion====
These data show that the true mean thickness of plaque after two years of treatment with Vitamin E is statistically significantly different than before the treatment (p =0.000216). In other words, vitamin E appears to be an effective in changing carotid artery plaque after treatment. The practical effect does appear to be < 60 microns; however, this may be clinically sufficient and justify patient treatment.

====Paired Test Validity====
Both the confidence intervals and the hypothesis testing methods in the paired design require Normality of both samples. If these parametric assumptions are invalid, we must use a [[AP_Statistics_Curriculum_2007_NonParam_2MedianPair | not-parametric (distribution free test)]], even if the latter is less powerful.

The plots below indicate that Normal assumptions are not unreasonable for these data, and hence we may be justified in using the one-sample T-test in this case.

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality |Quantile-Quantile Data-Data plot]] of the two datasets:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig6.jpg|600px]]</center>

* [[AP_Statistics_Curriculum_2007_Normal_Prob#Assessing_Normality | QQ-Normal plot]] of the before data:
<center>[[Image:SOCR_EBook_Dinov_Infer_2Means_Dep_020908_Fig7.jpg|600px]]</center>

====Paired vs. Independent Testing====
Suppose we accidentally analyzed the groups independently (using the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent T-test]]) rather than using this paired test (this would be an incorrect way of analyzing this ''before-after'' data). How would this change our results and findings?
: <math>T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} \sim T(df=17)</math>
: <math>T_o = {\overline{x}-\overline{y} - \mu_o \over SE(\overline{x}+\overline{y})} = {0.682 -0.687- 0 \over \sqrt{SE^2(\overline{x})+SE^2(\overline{y})}}= {0.682 -0.687\over \sqrt{{0.0742^2\over 10}+ {0.0709^2\over 10}}}={0.682 -0.687\over 0.0325}=1.38</math>
: <math>p-value=P(T>1.38)= 0.100449</math> and we would have failed to reject the null-hypothesis ('''incorrect!''')

Similarly, had we incorrectly used the [[AP_Statistics_Curriculum_2007_Infer_2Means_Indep |independent design]] and constructed a corresponding Confidence interval, we would obtain an incorrect inference:
: <math>CI: {\overline{x}-\overline{y} - \mu_o \pm t_{(df=17, \alpha/2)} \times SE(\overline{x_1}+\overline{x_1})} = 0.682 -0.687 \pm 1.740\times 0.0325 = [-0.0116 ; 0.1016]</math>

<hr>

===[[EBook_Problems_Infer_2Means_Dep|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Infer_2Means_Dep}}

SOCR Events OHBM2013 Workflows

2013-06-14T16:05:05Z

IvoDinov:

== [[SOCR_News | SOCR News & Events]]: OHBM 2013 Workflows Education Course ==

[[Image:PipelineWorkflow_Example.png|200px|thumbnail|right| [http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3524 OHBM 2013 Workflows Education Course] ]]

==Event Logistics==
* Organizer: [http://www.stat.ucla.edu/~dinov/ Ivo Dinov]
* Event: [http://www.humanbrainmapping.org/OHBM2013 OHBM 2013 Conference]
* Education Course Title: Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions
* Place: Seattle, Washington USA
* Venue: [http://www.wsctc.com Washington State Convention Center], 800 Convention Place, Seattle, WA 98101-2350, Phone: 206-694-5000, Fax: 206-694-5399, Email: info@wscc.com, Room 607 (level 6)
* Date: Sunday, June 16, 2013.
* Time: 8:00AM – 12:00PM Pacific Time
* Registration: [http://www.humanbrainmapping.org/OHBM2013 All speakers, presenters and attendees must register and pay the meeting registration fee].
* URL: http://ucla.in/1971hZM

==Agenda==
* 8:00-8:10 Introduction
* 8:10-8:35 The [http://socr.ucla.edu/docs/slides/OHBM_Workflows_Dinov_Intro_PipelineSlides.pptx Pipeline Workflow Environment (PPTX)], Ivo Dinov, Pipeline Team, UCLA
* 8:40-9:05 [http://www.bmi.emory.edu/davidgutman PTSD/TBI Morphometrics using the Pipeline], David Gutman, Emory
* 9:10-9:35 [http://nipy.sourceforge.net/nipype Neuroimaging in Python (NiPy) Architecture], Jarrod Millman, Berkeley
* 9:40-10:05 [http://nipy.sourceforge.net Single subject fMRI Workflow], Satrajit Ghosh, MIT
* 10:10-10:25 Coffee Break
* 10:30-10:55 [http://code.google.com/p/psom/ Pipeline system for Octave and Matlab (PSOM)], Christian Dansereau / Pierre Bellec, l'institut de gériatrie de Montréal and Université de Montréal
* 11:00-11:25 [http://code.google.com/p/psom/ Configurable PSOM Pipeline for the Analysis of Connectomes (C-PAC)], Cameron Craddock, Virginia Tech
* 11:30-11:55 [http://www.ci.uchicago.edu/swift The Swift parallel scripting language and computational neuroscience applications], Michael Wilde, UChicago
* 11:55-12:00 [http://pipeline.loni.ucla.edu/learn/training/evaluation-ohbm/ Conclusion/Evaluations]
* [http://pollev.com/ Interactive Web-based Q&A Forum for this Workshop] Enter Code *769983* followed by a space and the comment, questions, text of message (part of the larger [http://www.humanbrainmapping.org/questions OHBM'123 online book])

==Course Description==
There are Peta bytes of neuroimaging data, 10,000’s of computational algorithms reported in the literature, 1,000’s of independently developed software tools, and 100’s of protocols for analyzing structural, functional, diffusion and spectroscopic neuroimaging data. The demand for sophisticated data management skills, choice of appropriate software tools and reliable computational protocol, and the broad gamut of possible result interpretations require significant multidisciplinary expertise and robust computational infrastructure. Rather than presenting a forum for discussing the theoretical and methodological aspects of neuroimaging and brain mapping, the focus of this education workshop will be on training, practical usage, functionality and applications illustrating tool utilization, software scope and limitations, and available computational infrastructure.

This course will include paired training and application demonstrations on using different graphical and script-based pipeline workflow architectures to manage, process, analyze and visualize large volumes of neuroimaging and genetics data. Attendees will learn to use several concrete end-to-end pipeline workflow solutions for imaging (sMRI, fMRI, DTI) and phenotypic (demographic, genetic, clinical) data in development, aging and pathology. Examples of workflow solutions that will be demonstrated include the LONI Pipeline, Neuroimaging in Python (NiPy), Pipeline system for Octave and Matlab (PSOM) and SWIFT.

==Learning Objectives==
* Understanding of the benefits of employing a pipeline workflow infrastructure for large-scale Neuroinformatics, and identification of differences between alternative workflow architectures.
* Ability to find, modify, execute, monitor and interpret the results of common computational pipeline protocols.
* Working knowledge of validating, sharing and reviewing computational neuroimage processing protocols as pipeline workflows.

==Target Audience==
[[Image:Workflows_OHBM2013_Workshop_QR.png|100px|thumbnail|right|]]
Three types of learners would benefit from this training workshop – experienced investigators (interested in sharing their computational protocol with wider audiences), novice users (looking for high-throughput data processing capabilities), neuroimaging system administrators (searching for distributed, computationally efficient and efficient mechanism to support heterogeneous image computing cluster systems).

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_OHBM2013_Workflows}}

SOCR Events OHBM2013 Workflows

2013-06-14T15:55:54Z

IvoDinov: /* Agenda */

== [[SOCR_News | SOCR News & Events]]: OHBM 2013 Workflows Education Course ==

[[Image:PipelineWorkflow_Example.png|250px|thumbnail|right| [http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3524 OHBM 2013 Workflows Education Course] ]]

==Event Logistics==
* Organizer: [http://www.stat.ucla.edu/~dinov/ Ivo Dinov]
* Event: [http://www.humanbrainmapping.org/OHBM2013 OHBM 2013 Conference]
* Education Course Title: Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions
* Place: Seattle, Washington USA
* Venue: [http://www.wsctc.com Washington State Convention Center], 800 Convention Place, Seattle, WA 98101-2350, Phone: 206-694-5000, Fax: 206-694-5399, Email: info@wscc.com, Room 607 (level 6)
* Date: Sunday, June 16, 2013.
* Time: 8:00AM – 12:00PM Pacific Time
* Registration: [http://www.humanbrainmapping.org/OHBM2013 All speakers, presenters and attendees must register and pay the meeting registration fee].
* URL: http://ucla.in/1971hZM

==Agenda==
* 8:00-8:10 Introduction
* 8:10-8:35 The [http://socr.ucla.edu/docs/slides/OHBM_Workflows_Dinov_Intro_PipelineSlides.pptx Pipeline Workflow Environment (PPTX)], Ivo Dinov, Pipeline Team, UCLA
* 8:40-9:05 [http://www.bmi.emory.edu/davidgutman PTSD/TBI Morphometrics using the Pipeline], David Gutman, Emory
* 9:10-9:35 [http://nipy.sourceforge.net/nipype Neuroimaging in Python (NiPy) Architecture], Jarrod Millman, Berkeley
* 9:40-10:05 [http://nipy.sourceforge.net Single subject fMRI Workflow], Satrajit Ghosh, MIT
* 10:10-10:25 Coffee Break
* 10:30-10:55 [http://code.google.com/p/psom/ Pipeline system for Octave and Matlab (PSOM)], Christian Dansereau / Pierre Bellec, l'institut de gériatrie de Montréal and Université de Montréal
* 11:00-11:25 [http://code.google.com/p/psom/ Configurable PSOM Pipeline for the Analysis of Connectomes (C-PAC)], Cameron Craddock, Virginia Tech
* 11:30-11:55 [http://www.ci.uchicago.edu/swift The Swift parallel scripting language and computational neuroscience applications], Michael Wilde, UChicago
* 11:55-12:00 [http://pipeline.loni.ucla.edu/learn/training/evaluation-ohbm/ Conclusion/Evaluations]
* [http://pollev.com/ Interactive Web-based Q&A Forum for this Workshop] Enter Code *769983* followed by a space and the comment, questions, text of message (part of the larger [http://www.humanbrainmapping.org/questions OHBM'123 online book])

==Course Description==
There are Peta bytes of neuroimaging data, 10,000’s of computational algorithms reported in the literature, 1,000’s of independently developed software tools, and 100’s of protocols for analyzing structural, functional, diffusion and spectroscopic neuroimaging data. The demand for sophisticated data management skills, choice of appropriate software tools and reliable computational protocol, and the broad gamut of possible result interpretations require significant multidisciplinary expertise and robust computational infrastructure. Rather than presenting a forum for discussing the theoretical and methodological aspects of neuroimaging and brain mapping, the focus of this education workshop will be on training, practical usage, functionality and applications illustrating tool utilization, software scope and limitations, and available computational infrastructure.

This course will include paired training and application demonstrations on using different graphical and script-based pipeline workflow architectures to manage, process, analyze and visualize large volumes of neuroimaging and genetics data. Attendees will learn to use several concrete end-to-end pipeline workflow solutions for imaging (sMRI, fMRI, DTI) and phenotypic (demographic, genetic, clinical) data in development, aging and pathology. Examples of workflow solutions that will be demonstrated include the LONI Pipeline, Neuroimaging in Python (NiPy), Pipeline system for Octave and Matlab (PSOM) and SWIFT.

==Learning Objectives==
* Understanding of the benefits of employing a pipeline workflow infrastructure for large-scale Neuroinformatics, and identification of differences between alternative workflow architectures.
* Ability to find, modify, execute, monitor and interpret the results of common computational pipeline protocols.
* Working knowledge of validating, sharing and reviewing computational neuroimage processing protocols as pipeline workflows.

==Target Audience==
[[Image:Workflows_OHBM2013_Workshop_QR.png|100px|thumbnail|right|]]
Three types of learners would benefit from this training workshop – experienced investigators (interested in sharing their computational protocol with wider audiences), novice users (looking for high-throughput data processing capabilities), neuroimaging system administrators (searching for distributed, computationally efficient and efficient mechanism to support heterogeneous image computing cluster systems).

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_OHBM2013_Workflows}}

SOCR Events OHBM2013 Workflows

2013-06-13T23:28:50Z

IvoDinov: /* Agenda */

== [[SOCR_News | SOCR News & Events]]: OHBM 2013 Workflows Education Course ==

[[Image:PipelineWorkflow_Example.png|250px|thumbnail|right| [http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3524 OHBM 2013 Workflows Education Course] ]]

==Event Logistics==
* Organizer: [http://www.stat.ucla.edu/~dinov/ Ivo Dinov]
* Event: [http://www.humanbrainmapping.org/OHBM2013 OHBM 2013 Conference]
* Education Course Title: Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions
* Place: Seattle, Washington USA
* Venue: [http://www.wsctc.com Washington State Convention Center], 800 Convention Place, Seattle, WA 98101-2350, Phone: 206-694-5000, Fax: 206-694-5399, Email: info@wscc.com, Room 607 (level 6)
* Date: Sunday, June 16, 2013.
* Time: 8:00AM – 12:00PM Pacific Time
* Registration: [http://www.humanbrainmapping.org/OHBM2013 All speakers, presenters and attendees must register and pay the meeting registration fee].
* URL: http://ucla.in/1971hZM

==Agenda==
* 8:00-8:10 Introduction
* 8:10-8:35 The [http://socr.ucla.edu/docs/slides/OHBM_Workflows_Dinov_Intro_PipelineSlides.pptx Pipeline Workflow Environment (PPTX)], Ivo Dinov, Pipeline Team, UCLA
* 8:40-9:05 [http://www.bmi.emory.edu/davidgutman PTSD/TBI Morphometrics using the Pipeline], David Gutman, Emory
* 9:10-9:35 [http://nipy.sourceforge.net/nipype Neuroimaging in Python (NiPy) Architecture], Jarrod Millman, Berkeley
* 9:40-10:05 [http://nipy.sourceforge.net Single subject fMRI Workflow], Satrajit Ghosh, MIT
* 10:10-10:25 Coffee Break
* 10:30-10:55 [http://code.google.com/p/psom/ Pipeline system for Octave and Matlab (PSOM)], Pierre Bellec, l'institut de gériatrie de Montréal and Université de Montréal
* 11:00-11:25 [http://code.google.com/p/psom/ Configurable PSOM Pipeline for the Analysis of Connectomes (C-PAC)], Cameron Craddock, Virginia Tech
* 11:30-11:55 [http://www.ci.uchicago.edu/swift The Swift parallel scripting language and computational neuroscience applications], Michael Wilde, UChicago
* 11:55-12:00 [http://pipeline.loni.ucla.edu/learn/training/evaluation-ohbm/ Conclusion/Evaluations]
* [http://pollev.com/ Interactive Web-based Q&A Forum for this Workshop] Enter Code *769983* followed by a space and the comment, questions, text of message (part of the larger [http://www.humanbrainmapping.org/questions OHBM'123 online book])

==Course Description==
There are Peta bytes of neuroimaging data, 10,000’s of computational algorithms reported in the literature, 1,000’s of independently developed software tools, and 100’s of protocols for analyzing structural, functional, diffusion and spectroscopic neuroimaging data. The demand for sophisticated data management skills, choice of appropriate software tools and reliable computational protocol, and the broad gamut of possible result interpretations require significant multidisciplinary expertise and robust computational infrastructure. Rather than presenting a forum for discussing the theoretical and methodological aspects of neuroimaging and brain mapping, the focus of this education workshop will be on training, practical usage, functionality and applications illustrating tool utilization, software scope and limitations, and available computational infrastructure.

This course will include paired training and application demonstrations on using different graphical and script-based pipeline workflow architectures to manage, process, analyze and visualize large volumes of neuroimaging and genetics data. Attendees will learn to use several concrete end-to-end pipeline workflow solutions for imaging (sMRI, fMRI, DTI) and phenotypic (demographic, genetic, clinical) data in development, aging and pathology. Examples of workflow solutions that will be demonstrated include the LONI Pipeline, Neuroimaging in Python (NiPy), Pipeline system for Octave and Matlab (PSOM) and SWIFT.

==Learning Objectives==
* Understanding of the benefits of employing a pipeline workflow infrastructure for large-scale Neuroinformatics, and identification of differences between alternative workflow architectures.
* Ability to find, modify, execute, monitor and interpret the results of common computational pipeline protocols.
* Working knowledge of validating, sharing and reviewing computational neuroimage processing protocols as pipeline workflows.

==Target Audience==
[[Image:Workflows_OHBM2013_Workshop_QR.png|100px|thumbnail|right|]]
Three types of learners would benefit from this training workshop – experienced investigators (interested in sharing their computational protocol with wider audiences), novice users (looking for high-throughput data processing capabilities), neuroimaging system administrators (searching for distributed, computationally efficient and efficient mechanism to support heterogeneous image computing cluster systems).

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_OHBM2013_Workflows}}

SOCR Events OHBM2013 Workflows

2013-06-13T23:24:48Z

IvoDinov:

== [[SOCR_News | SOCR News & Events]]: OHBM 2013 Workflows Education Course ==

[[Image:PipelineWorkflow_Example.png|250px|thumbnail|right| [http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3524 OHBM 2013 Workflows Education Course] ]]

==Event Logistics==
* Organizer: [http://www.stat.ucla.edu/~dinov/ Ivo Dinov]
* Event: [http://www.humanbrainmapping.org/OHBM2013 OHBM 2013 Conference]
* Education Course Title: Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions
* Place: Seattle, Washington USA
* Venue: [http://www.wsctc.com Washington State Convention Center], 800 Convention Place, Seattle, WA 98101-2350, Phone: 206-694-5000, Fax: 206-694-5399, Email: info@wscc.com, Room 607 (level 6)
* Date: Sunday, June 16, 2013.
* Time: 8:00AM – 12:00PM Pacific Time
* Registration: [http://www.humanbrainmapping.org/OHBM2013 All speakers, presenters and attendees must register and pay the meeting registration fee].
* URL: http://ucla.in/1971hZM

==Agenda==
* 8:00-8:10 Introduction
* 8:10-8:35 The Pipeline Workflow Environment, Ivo Dinov, Pipeline Team, UCLA
* 8:40-9:05 [http://www.bmi.emory.edu/davidgutman PTSD/TBI Morphometrics using the Pipeline], David Gutman, Emory
* 9:10-9:35 [http://nipy.sourceforge.net/nipype Neuroimaging in Python (NiPy) Architecture], Jarrod Millman, Berkeley
* 9:40-10:05 [http://nipy.sourceforge.net Single subject fMRI Workflow], Satrajit Ghosh, MIT
* 10:10-10:25 Coffee Break
* 10:30-10:55 [http://code.google.com/p/psom/ Pipeline system for Octave and Matlab (PSOM)], Pierre Bellec, l'institut de gériatrie de Montréal and Université de Montréal
* 11:00-11:25 [http://code.google.com/p/psom/ Configurable PSOM Pipeline for the Analysis of Connectomes (C-PAC)], Cameron Craddock, Virginia Tech
* 11:30-11:55 [http://www.ci.uchicago.edu/swift The Swift parallel scripting language and computational neuroscience applications], Michael Wilde, UChicago
* 11:55-12:00 [http://pipeline.loni.ucla.edu/learn/training/evaluation-ohbm/ Conclusion/Evaluations]
* [http://pollev.com/ Interactive Web-based Q&A Forum for this Workshop] Enter Code *769983* followed by a space and the comment, questions, text of message (part of the larger [http://www.humanbrainmapping.org/questions OHBM'123 online book])

==Course Description==
There are Peta bytes of neuroimaging data, 10,000’s of computational algorithms reported in the literature, 1,000’s of independently developed software tools, and 100’s of protocols for analyzing structural, functional, diffusion and spectroscopic neuroimaging data. The demand for sophisticated data management skills, choice of appropriate software tools and reliable computational protocol, and the broad gamut of possible result interpretations require significant multidisciplinary expertise and robust computational infrastructure. Rather than presenting a forum for discussing the theoretical and methodological aspects of neuroimaging and brain mapping, the focus of this education workshop will be on training, practical usage, functionality and applications illustrating tool utilization, software scope and limitations, and available computational infrastructure.

This course will include paired training and application demonstrations on using different graphical and script-based pipeline workflow architectures to manage, process, analyze and visualize large volumes of neuroimaging and genetics data. Attendees will learn to use several concrete end-to-end pipeline workflow solutions for imaging (sMRI, fMRI, DTI) and phenotypic (demographic, genetic, clinical) data in development, aging and pathology. Examples of workflow solutions that will be demonstrated include the LONI Pipeline, Neuroimaging in Python (NiPy), Pipeline system for Octave and Matlab (PSOM) and SWIFT.

==Learning Objectives==
* Understanding of the benefits of employing a pipeline workflow infrastructure for large-scale Neuroinformatics, and identification of differences between alternative workflow architectures.
* Ability to find, modify, execute, monitor and interpret the results of common computational pipeline protocols.
* Working knowledge of validating, sharing and reviewing computational neuroimage processing protocols as pipeline workflows.

==Target Audience==
[[Image:Workflows_OHBM2013_Workshop_QR.png|100px|thumbnail|right|]]
Three types of learners would benefit from this training workshop – experienced investigators (interested in sharing their computational protocol with wider audiences), novice users (looking for high-throughput data processing capabilities), neuroimaging system administrators (searching for distributed, computationally efficient and efficient mechanism to support heterogeneous image computing cluster systems).

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_OHBM2013_Workflows}}

File:Workflows OHBM2013 Workshop QR.png

2013-06-13T23:24:14Z

IvoDinov:

File:PipelineWorkflow Example.png

2013-06-13T23:21:33Z

IvoDinov:

SOCR Events OHBM2013 Workflows

2013-06-13T23:20:51Z

IvoDinov:

== [[SOCR_News | SOCR News & Events]]: OHBM 2013 Workflows Education Course ==

[[Image:PipelineWorkflow_Example.png|250px|thumbnail|right| [http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3524 OHBM 2013 Workflows Education Course] ]]

==Event Logistics==
* Organizer: [http://www.stat.ucla.edu/~dinov/ Ivo Dinov]
* Event: [http://www.humanbrainmapping.org/OHBM2013 OHBM 2013 Conference]
* Education Course Title: Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions
* Place: Seattle, Washington USA
* Venue: [http://www.wsctc.com Washington State Convention Center], 800 Convention Place, Seattle, WA 98101-2350, Phone: 206-694-5000, Fax: 206-694-5399, Email: info@wscc.com, Room 607 (level 6)
* Date: Sunday, June 16, 2013.
* Time: 8:00AM – 12:00PM Pacific Time
* Registration: [http://www.humanbrainmapping.org/OHBM2013 All speakers, presenters and attendees must register and pay the meeting registration fee].
* URL: http://ucla.in/1971hZM

==Agenda==
* 8:00-8:10 Introduction
* 8:10-8:35 The Pipeline Workflow Environment, Ivo Dinov, Pipeline Team, UCLA
* 8:40-9:05 [http://www.bmi.emory.edu/davidgutman PTSD/TBI Morphometrics using the Pipeline], David Gutman, Emory
* 9:10-9:35 [http://nipy.sourceforge.net/nipype Neuroimaging in Python (NiPy) Architecture], Jarrod Millman, Berkeley
* 9:40-10:05 [http://nipy.sourceforge.net Single subject fMRI Workflow], Satrajit Ghosh, MIT
* 10:10-10:25 Coffee Break
* 10:30-10:55 [http://code.google.com/p/psom/ Pipeline system for Octave and Matlab (PSOM)], Pierre Bellec, l'institut de gériatrie de Montréal and Université de Montréal
* 11:00-11:25 [http://code.google.com/p/psom/ Configurable PSOM Pipeline for the Analysis of Connectomes (C-PAC)], Cameron Craddock, Virginia Tech
* 11:30-11:55 [http://www.ci.uchicago.edu/swift The Swift parallel scripting language and computational neuroscience applications], Michael Wilde, UChicago
* 11:55-12:00 [http://pipeline.loni.ucla.edu/learn/training/evaluation-ohbm/ Conclusion/Evaluations]
* [http://pollev.com/ Interactive Web-based Q&A Forum for this Workshop] Enter Code *769983* followed by a space and the comment, questions, text of message (part of the larger [http://www.humanbrainmapping.org/questions OHBM'123 online book])

==Course Description==
There are Peta bytes of neuroimaging data, 10,000’s of computational algorithms reported in the literature, 1,000’s of independently developed software tools, and 100’s of protocols for analyzing structural, functional, diffusion and spectroscopic neuroimaging data. The demand for sophisticated data management skills, choice of appropriate software tools and reliable computational protocol, and the broad gamut of possible result interpretations require significant multidisciplinary expertise and robust computational infrastructure. Rather than presenting a forum for discussing the theoretical and methodological aspects of neuroimaging and brain mapping, the focus of this education workshop will be on training, practical usage, functionality and applications illustrating tool utilization, software scope and limitations, and available computational infrastructure.

This course will include paired training and application demonstrations on using different graphical and script-based pipeline workflow architectures to manage, process, analyze and visualize large volumes of neuroimaging and genetics data. Attendees will learn to use several concrete end-to-end pipeline workflow solutions for imaging (sMRI, fMRI, DTI) and phenotypic (demographic, genetic, clinical) data in development, aging and pathology. Examples of workflow solutions that will be demonstrated include the LONI Pipeline, Neuroimaging in Python (NiPy), Pipeline system for Octave and Matlab (PSOM) and SWIFT.

==Learning Objectives==
* Understanding of the benefits of employing a pipeline workflow infrastructure for large-scale Neuroinformatics, and identification of differences between alternative workflow architectures.
* Ability to find, modify, execute, monitor and interpret the results of common computational pipeline protocols.
* Working knowledge of validating, sharing and reviewing computational neuroimage processing protocols as pipeline workflows.

[[Image:Workflows_OHBM2013_Workshop_QR.png|250px|thumbnail|right|]]
==Target Audience==
Three types of learners would benefit from this training workshop – experienced investigators (interested in sharing their computational protocol with wider audiences), novice users (looking for high-throughput data processing capabilities), neuroimaging system administrators (searching for distributed, computationally efficient and efficient mechanism to support heterogeneous image computing cluster systems).

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_OHBM2013_Workflows}}

SOCR Events OHBM2013 Workflows

2013-06-13T23:15:16Z

IvoDinov: Created page with '== SOCR News & Events: OHBM 2013 Workflows Education Course == [[Image:PipelineWorkflow_Example.png|250px|thumbnail|right| [TBD OHBM 2013 Workflows Education Cou…'

== [[SOCR_News | SOCR News & Events]]: OHBM 2013 Workflows Education Course ==

[[Image:PipelineWorkflow_Example.png|250px|thumbnail|right| [TBD OHBM 2013 Workflows Education Course] ]]

==Event Logistics==
* Organizer: [http://www.stat.ucla.edu/~dinov/ Ivo Dinov]
* Event: [http://www.humanbrainmapping.org/OHBM2013 OHBM 2013 Conference]
* Education Course Title: Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions
* Place: Seattle, Washington USA
* Venue: [http://www.wsctc.com Washington State Convention Center], 800 Convention Place, Seattle, WA 98101-2350, Phone: 206-694-5000, Fax: 206-694-5399, Email: info@wscc.com, Room 607 (level 6)
* Date: Sunday, June 16, 2013.
* Time: 8:00AM – 12:00PM Pacific Time
* Registration: [http://www.humanbrainmapping.org/OHBM2013 All speakers, presenters and attendees must register and pay the meeting registration fee].
* URL:

---+++ Agenda
* 8:00-8:10 [[%ATTACHURL%/OHBM_Workflows_OpeningSlides.pptx][Introduction PPTX]]
* 8:10-8:35 [[http://pipeline.loni.ucla.edu][The Pipeline Workflow Environment]], Ivo Dinov, Pipeline Team, UCLA ([[%ATTACHURL%/OHBM_Workflows_Dinov_Intro_PipelineSlides.pptx][PPTX]], [[%ATTACHURL%/Pipeline_DM_StudyModule_MetaData.csv][DM/StudyModule/CSV]], [[%ATTACHURL%/Pipeline_Demo_Script_2013.docx][DOCX]])
* 8:40-9:05 [[http://www.bmi.emory.edu/davidgutman][PTSD/TBI Morphometrics using the Pipeline]], David Gutman, Emory
* 9:10-9:35 [[http://nipy.sourceforge.net/nipype][Neuroimaging in Python (NiPy) Architecture]], Jarrod Millman, Berkeley
* 9:40-10:05 [[http://nipy.sourceforge.net][Single subject fMRI Workflow]], Satrajit Ghosh, MIT
* 10:10-10:25 Coffee Break
* 10:30-10:55 [[http://code.google.com/p/psom/ ][Pipeline system for Octave and Matlab (PSOM)]], Pierre Bellec, l'institut de gériatrie de Montréal and Université de Montréal
* 11:00-11:25 [[http://code.google.com/p/psom/][Configurable PSOM Pipeline for the Analysis of Connectomes (C-PAC)]], Cameron Craddock, Virginia Tech
* 11:30-11:55 [[http://www.ci.uchicago.edu/swift][The Swift parallel scripting language and computational neuroscience applications]], Michael Wilde, UChicago
* 11:55-12:00 [[http://pipeline.loni.ucla.edu/learn/training/evaluation-ohbm/][Conclusion/Evaluations]]
* [[http://pollev.com/][Interactive Web-based Q&A Forum for this Workshop]] Enter Code *769983* followed by a space and the comment, questions, text of message (part of the larger [[http://www.humanbrainmapping.org/questions][OHBM'123 online book]])

---+++ Course Description
There are Peta bytes of neuroimaging data, 10,000’s of computational algorithms reported in the literature, 1,000’s of independently developed software tools, and 100’s of protocols for analyzing structural, functional, diffusion and spectroscopic neuroimaging data. The demand for sophisticated data management skills, choice of appropriate software tools and reliable computational protocol, and the broad gamut of possible result interpretations require significant multidisciplinary expertise and robust computational infrastructure. Rather than presenting a forum for discussing the theoretical and methodological aspects of neuroimaging and brain mapping, the focus of this education workshop will be on training, practical usage, functionality and applications illustrating tool utilization, software scope and limitations, and available computational infrastructure.

This course will include paired training and application demonstrations on using different graphical and script-based pipeline workflow architectures to manage, process, analyze and visualize large volumes of neuroimaging and genetics data. Attendees will learn to use several concrete end-to-end pipeline workflow solutions for imaging (sMRI, fMRI, DTI) and phenotypic (demographic, genetic, clinical) data in development, aging and pathology. Examples of workflow solutions that will be demonstrated include the LONI Pipeline, Neuroimaging in Python (NiPy), Pipeline system for Octave and Matlab (PSOM) and SWIFT.

---+++ Learning Objectives
* Understanding of the benefits of employing a pipeline workflow infrastructure for large-scale Neuroinformatics, and identification of differences between alternative workflow architectures.
* Ability to find, modify, execute, monitor and interpret the results of common computational pipeline protocols.
* Working knowledge of validating, sharing and reviewing computational neuroimage processing protocols as pipeline workflows.

---+++Target Audience
Three types of learners would benefit from this training workshop – experienced investigators (interested in sharing their computational protocol with wider audiences), novice users (looking for high-throughput data processing capabilities), neuroimaging system administrators (searching for distributed, computationally efficient and efficient mechanism to support heterogeneous image computing cluster systems).

---+++ Education Course Materials
<table width="90%">
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* Examples of solutions and synergistic features and complementary differences between different Pipeline/Workflow Architectures: [[%ATTACHURL%/WorkflowArchitecture_FeatureComparison_2013.pdf][PDF]] and [[%ATTACHURL%/WorkflowArchitecture_FeatureComparison_2013.docx][DOCX]] (Draft!)
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<a href="http://www.loni.ucla.edu/twiki/bin/view/LONI/OHBM_2013_WorkflowsEdCourse"> <img src="http://www.loni.ucla.edu/twiki/pub/LONI/OHBM_2013_WorkflowsEdCourse/Workflows_OHBM2013_Workshop_QR.png" alt="http://www.loni.ucla.edu/twiki/pub/LONI/OHBM_2013_WorkflowsEdCourse/Workflows_OHBM2013_Workshop_QR.png" width="30%, height="30%" />
</a> 
<a href="http://www.loni.ucla.edu/twiki/pub/LONI/Pipeline/Pipeline_Overview_AnimatedGIF_Movie.gif"> <img src="http://www.loni.ucla.edu/twiki/pub/LONI/Pipeline/Pipeline_Overview_AnimatedGIF_Movie.gif" alt="http://www.loni.ucla.edu/twiki/pub/LONI/Pipeline/Pipeline_Overview_AnimatedGIF_Movie.gif" width="50%, height="50%" />
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{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_OHBM2013_Workflows}}

SOCR News

2013-06-13T23:10:30Z

IvoDinov:

== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [http://www.socr.ucla.edu/feed.rss RSS Feeds]==

==2014==
* January 16, 2014: Ivo Dinov is organizing a [[SOCR_Events_JMM_BigData_Jan2014 |special American Mathematical Society (AMS) session on Big Data: Mathematical and Statistical Modeling, Tools, Services, and Training]], at the [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html2014 Joint Mathematics Meeting (JMM), Baltimore, MD, USA].

==2013==
* June 16, 2013: Ivo Dinov is organizing a [[SOCR_Events_OHBM2013_Workflows|Continuing Education Course entitled Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions]]. This workshop is part of the [http://www.humanbrainmapping.org/OHBM2013/ 2013 Organization for Human Brain Mapping Meeting] in Seattle, Washington. Ivo Dinov is presenting [http://www.humanbrainmapping.org/files/2013MeetingFiles/Sessions/Neuroimaging%20%E2%80%98Big%20Data%E2%80%99%20Challenges%20and%20Computational%20Workflow%20Solutions.pdf The Pipeline Workflow Environment] at this workshop.
* May 20, 2013: Ivo Dinov is organizing a [http://www.loni.ucla.edu/twiki/bin/view/LONI/PL_ComputationalGenomicsWorkshop_2013 Computational Genomics Training Workshop] at UCLA. This workshop will be postponed to a future date, due to unforeseen scheduling conflicts.
* May 15-16, 2013: USCOTS 2013 Workshop: Dennis Pearl (Ohio State), Kyle Siegrist (University of Alabama) and Ivo Dinov (UCLA) are organizing a 2 day workshop [http://www.distributome.org/meetings/USCOTS_2013/ Interactive Probability Instruction], at the [http://www.causeweb.org/uscots/workshops/ USCOTS 2013 meeting]. The organizers will provide continuing education training for using the [http://www.Distributome.org Probability Distributome webapps], classroom use of the [http://www.math.uah.edu/stat Virtual Laboratories in Probability and Statistics], exploratory data analysis using the [http://www.SOCR.ucla.edu Statistics Online Computational Resource].
* April 08, 2013: Ivo Dinov is presenting the [http://www.loni.ucla.edu/twiki/pub/LONI/EpiBioS_Bioinformatics_2013/Dinov_EpiBioS_PipelineWorkflows_2013.pptx Pipeline Workflow Environment (PPTX)] at the [http://www.loni.ucla.edu/twiki/bin/view/LONI/EpiBioS_Bioinformatics_2013 Epilepsy Bioinformatics Workshop at UCLA].
* March 21, 2013: Nicolas Christou and Ivo Dinov, presented the [[SOCR_Events_LAUSD_Mar2013 |SOCR blended mathematics and statistics education resources relative to the California Common Core State Standards, LAUSD]].
* March 4-6, 2013: Ivo Dinov is presenting a paper entitled [http://www.pacificrimneuroimaging.net/wp-content/uploads/2012/11/Dinov_BigDataChallenges_2013.pdf How to Ride the Perfect Neuroimaging-Genetics-Computation Storm? Collision of Peta Bytes of Data, Thousands of Software Tools and Millions of Hardware Devices] at the [http://www.pacificrimneuroimaging.net/ New Horizons in Human Brain Imaging], Turtle Bay Resort, Oahu, Hawaii USA.
* January 23-25, 2013: [http://ccliconference.org/2013-tuesccli-pi-conference/ 2013 AAAS TUES/CCLI conference in Washington, DC]; American Association for the Advancement of Science, AAAS, and the National Science Foundation, NSF, Programs for Course, Curriculum, and Laboratory Improvement, CCLI, and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES.
** Ivo Dinov is [http://ccliconference.org/abstracts/943 presenting the SOCR resource].
** Kyle Siegrist, Dennis Pearl and Ivo Dinov are presenting [http://ccliconference.org/abstracts/1166 the Probability Distributome Project].

==2012==
* November 27, 2012: Ivo Dinov (SOCR/UCLA), Dennis Pearl (MBI/OSU) and Kyle Siegrist (UAH/VLPS) are presenting a [http://www.distributome.org/meetings/CAUSEWeb_Webinar2012/ CAUSEWeb Webinar: Hands-on Distributome Activities for Teaching Probability] (Tuesday, 2:30 PM Eastern Time).
* October 20-21, 2012: [http://www.google-melange.com/gsoc/homepage/google/gsoc2012 Google 2012 Summer of Code (GSoC'12)] [http://gsoc-wiki.osuosl.org/index.php/2012 Mentor Summit]: Dr. Dinov presented the [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR-GSoC'12 projects] and lead 2 working sessions on [https://gsoc-wiki.osuosl.org/index.php/Building,_supporting_and_funding_academic-industry_collaborations_-_ideas,_partners,_challenges_and_prospects Building, supporting and funding academic-industry collaborations - ideas, partners, challenges and prospects] and [http://gsoc-wiki.osuosl.org/index.php/JS_SciCompLib JavaScript Science Computation Library] at this event.
* October 09, 2012: Dr. Ivo Dinov consults on a PBS NOVA/WGBH [http://www.pbs.org/wgbh/nova/body/mapping-the-brain.html Interactive Mapping the Brain Webapp] providing understanding of the relationship between brain anatomy, function and physiology. This resource enables the exploration of complex connections between different brain regions, and showcases the difference between normal and abnormal brain variability.
* August 02, 2012: Ivo Dinov is presenting an invited talk entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=303516 Computational Neuroinformatics: Challenges, Methods & Tools] at the [http://www.amstat.org/meetings/jsm/2012/ 2012 JSM meeting] in San Diego, CA. Session, (207361), [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=207361 Innovations in Biomaging and the Impact of Statistics”, Session #587], Thursday, 8/2/2012, from 8:30 AM - 10:20 AM.
* July 31, 2012: Scott Kamino, Bilal Bhakhrani, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=306019 Bivariate Normal Distribution: A New SOCR Applet] at [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=208039 2012 JSM Meeting in San Diego, CA] (Tue, 7/31/2012, 10:30 AM - 12:20 PM, CC-Room 30C).
* July 13, 2012: Ivo Dinov is giving a lecture entitled [http://www.mntp.pitt.edu/Symposium/Symposium_DataProc_2012.html Multimodal Neuroimaging and Distributed Computing using the Pipeline Environment] at the 2012 [http://www.mntp.pitt.edu/ Multimodal Neuroimaging Training Program (MNTP)] at the University of Pittsburgh.
* May 2012: [http://socr.ucla.edu/htmls/ana/ SOCR Analyses] are utilized as the key statistical computing library part of the [http://pipeline.loni.ucla.edu/ Pipeline Graphical Workflow Environment]. One example is the use of the [[SOCR_EduMaterials_AnalysisActivities_MLR|SOCR Multivariate Linear Regression]] and [[SOCR_EduMaterials_AnalysesCommandLineFDR_Correction|False Discovery Rate (FDR)]] utilities for analyzing multidimensional neuroimaging data (http://ucla.in/Ie80ps).
* April 26, 2012: Ivo Dinov and Nicholas Christou are presenting a special session entitled [[SOCR_Events_NCMT_2012 |Technology-Enhanced Mathematics and Statistics Education]] at the [http://www.nctm.org/conferences/content.aspx?id=29461 2012 National Council of Teachers of Mathematics (NCMT) Meeting] in Philadelphia, Pennsylvania (April 25-28, 2012).
* April 17, 2012: Jack Van Horn, Ivo Dinov, Paul Eggert and Arthur Toga organized a workshop [http://pipeline.loni.ucla.edu/training/bigdata_2012/ Big Data Analysis Using the LONI Pipeline].
* March 2012: SOCR Projects are part of GSoC 2012: [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR is one of the high-profile projects included in the 2012 Google Summer of Code (GSoC)]. As part of this program, SOCR is looking for highly-motivated, technologically-savvy and result-oriented students to work on [[Available_SOCR_Development_Projects|expanding the large suite of SOCR computational libraries, designing and implementing novel open-source HTML5/JavaScript/JQuery webapps and web-resources for improving science education]].
* March 16-17, 2012: Ivo Dinov is organizing a [http://pipeline.loni.ucla.edu/training/cchmc2012/ Pipeline Training Workshop] at the University of Cincinnati and the Cincinnati Children’s Hospital Medical Center (CCHMC), Cincinnati, OH.

==2011==
* September 2011: SOCR Applications in Human Brain Mapping. [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract Human brain mapping investigators use SOCR resources and tools to investigate frontal, temporal, and ventricular dysmorphology in schizophrenia, putamen/pallidum enlargements, medication exposure in early studies, and genetic predisposition for schizophrenia]. This report published in the [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract HBM Journal] reveals the role of specific genetic or environmental risk factors toward altered brain morphology in schizophrenia.
* Sept. 17, 2011: Ivo Dinov is interviewed by [http://www.dailybruin.com/index.php/section/on_the_record Daily Bruin "On The Record"] about [http://www.dailybruin.com/index.php/multimedia/43623 student loans and the rate of increase of the cost of college tuition].
* August 12, 2011: Scott Kamino, Lance Perry and Mat Swatek submitted a [http://www.youtube-nocookie.com/embed/kVhorHV35To video entitled "To Stat, or not to Stat?"] responding to the [http://www.amstat.org/youtube/ ASA contest to promote the practice and profession of statistics].
* August 03, 2011: Dave Zes, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2011/onlineprogram/AbstractDetails.cfm?abstractid=302579 Spatial Statistics and Cartography Using SOCR (Abstract #302579)] in [http://www.amstat.org/meetings/jsm/2011/onlineprogram/MainSearchResults.cfm?SponsorID=206 Session # 524 (Wed, 8/3/2011, 11:20 AM)] at the [http://www.amstat.org/meetings/jsm/2011 Joint Statistical Meeting] in Miami Beach, Florida, July 30–August 4, 2011.
* July 15, 2011: Dr. Dinov was interviewed and quoted in an article in the Wall Street Journal about [http://blogs.wsj.com/numbersguy/happy-square-prime-sandwich-day-1072/ the proliferation of days designated to mark certain numerical properties - Happy Square-Prime Sandwich Day].
* June 24-25, 2011: Ivo Dinov is presenting [http://socr.ucla.edu/Ed/UC_OSI/ SOCR resource utilization in the University of California - Online Statistics Instruction (UC-OSI)] program. [http://www.ucop.edu UCOP] [http://groups.ischool.berkeley.edu/onlineeducation/ OIPP] [http://groups.ischool.berkeley.edu/onlineeducation/project-participants/course-design-conference Meeting, Berkeley, California]. See the video on [http://www.youtube.com/watch?v=O9aed06zCF0&list=PL5AB77EEBD0A8F7F9&index=6 YouTube].
* April 11-14, 2011: [http://www.healthgrid.org/news/index.php?id=31 outGRID workshop, Vilnius, Lithuania]. Ivo Dinov is presenting a paper entitled [http://www.egi.eu/indico/getFile.py/access?contribId=114&sessionId=12&resId=2&materialId=slides&confId=207 Visual Informatics and Computational Genomics using the Graphical Pipeline Environment].
* January 26-28, 2011: Ivo Dinov is [http://ccliconference.org/abstracts/663 presenting the SOCR resource] at the [http://www.ccliconference.com/ 2011 AAAS TUES/CCLI conference in Washington, DC] (American Association for the Advancement of Science, AAAS, and the National Science Foundation (NSF) Programs for Course, Curriculum, and Laboratory Improvement (CCLI) and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES).
* January 07, 2011: [http://distributome.org/ Distributome-An Interactive Web-based Resource for Probability Distributions]: Kyle Siegrist, Ivo Dinov, and Dennis Pearl will present the [http://www.mathaware.org/meetings/national/jmm/2125_program_friday.html State of the Probability Distributome Project], 2011 JMM meeting, NSF Division of Undergraduate Education, Napoleon A1-A3, 3rd Floor, Sheraton, 2:00-4:00PM.

==2010==
* December 04-05, 2010: [http://www.cmc-math.org/activities/north_program.html 2010 CMC-North Annual Asilomar Mathematics Conference]. Ivo Dinov will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* November 18, 2012: Dr. Dinov presented a seminar entitled [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=showevent&ncmd=calmonth&cal=cal2&id=1287690501-25406-1&ncals=&y=2010&m=11&d=18&token=&sb=0&cf=cal&lc=calmonth&swe=1&set=1&sa=0&sort=e,m,t&ws=0&sib=1&de=1&tf=0 Computational Neuroinformatics: Challenges, Methods, & Tools], UCLA [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=calmonth&ncmd=startup&cal=cal2 Computer Science Seminar Series].
* November 05-06, 2010: [http://www.cmc-math.org/activities/south_conference.html 2010 CMC-South Annual Palm Springs Mathematics Conference]. Ivo Dinov and Nicolas Christou will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* September 2010: [http://magazine.amstat.org/blog/2010/09/01/hands-on/ The SOCR MotionCharts Project receives an honorable mention in the 2010 ASA Hands-On Statistics Activity Competition].
* September 2010: In a High Speed Network partnership with K-12 educators, the SOCR Probability and Statistics [[EBook]] is posted on the [http://www.k12hsn.org/calaxy/wikis.php/calaxy/Probability_and_Statistics_EBook K12HSN network and made freely and openly available to the entire K-12 educational community].
* August 13, 2010, [[SOCR_Events_Aug2010 | SOCR AP Statistics Continuing Education Workshop]] at UCLA.
* July 31 - August 05, 2010, [http://www.amstat.org/meetings/jsm/2010/ JSM 2010 Conference], Vancouver, BC, Canada, July 31 – August 5, 2010:
** Juana Sanchez, Nicolas Christou and Ivo Dinov will present [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR CLT Applet and Activity]], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=307049 Abstract #307049], Tue, 8/3/2010, 2:00 PM.
** Nicolas Christou and Ivo Dinov will present [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Enhancing the Teaching of Statistics: Analysis of Spatial Data Using SOCR and R], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Abstract #308613], Wed, 8/4/2010, 8:30 AM.
* July 20-23, 2010 [http://sloanconsortium.org/et4online Sloan Consortium/MERLOT symposium] (Fairmont Hotel in San Jose, CA). Nicolas Christou, Ryan Rosario and Ivo Dinov will present a session entitled [[SOCR_Events_SloanMerlot_2010 | Technology-Enhanced Probability and Statistics Education Using the Statistics Online Computational Resource]].
* June 09, 2010: SOCR V2.6 receives the [http://www.softpedia.com/progClean/Statistics-Online-Computational-Resource-Clean-161967.html Softpedia "100% Free & Clean" award]. This [http://www.socr.ucla.edu/htmls/SOCR_Recognitions.html certifies that all SOCR tools] are free of all forms of malware, including spyware, viruses, trojans and backdoors, and can be used and installed with no concern by any computer user.
* May 14, 2010: Dr. Dinov was interviewed and quoted in an article in the [http://blogs.wsj.com/numbersguy/overblown-notions-about-names-940/ Wall Street Journal about the concept of implicit egotism, or people’s unconscious attraction to things or people that resemble themselves — as manifested by name similarity].
* May 11, 2010: [[SOCR_Events_CAUSE_TL_Spring2010 | CAUSE SOCR Teaching and Learning Webinar]].
* April 19, 2010: [[SOCR_Events_FTO_Obesity_Neuroimaging2010 |The largest neuroimaging study to-date identifies the relations between obesity gene (FTO) and brain tissue loss using the SOCR computational libraries]].
* March 25, 2010: We upgraded the [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR user web-statistics mechanism]. Now we provide anonymous access to dynamic and complete statistics on the web-users of the main [http://www.SOCR.ucla.edu SOCR server]. The new [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR web-statistics architecture] allows anyone to see anytime the locations and types of the last 500 SOCR users. Each user is uniquely counter daily, irrespective of usage-time or number of SOCR resources they used. Other [[SOCR_Servers | SOCR servers]] have separate tracking mechanisms.
* March 17, 2010: [http://www.scientistlive.com/European-Science-News/Medical/Brain_abnormalities_in_children_exposed_to_meth/24237/ Brain abnormalities in children exposed to meth] - a news-brief on a recent [http://www.jneurosci.org/cgi/content/abstract/30/11/3876 article on Prenatal Methamphetamine use], co-authored by Dr. Dinov, is distributed by the National Institutes of Health.
* January 12, 2010: NSF/DUE PI Meeting at the [http://www.ams.org/amsmtgs/2124_intro.html 2010 JMM Meeting in San Francisco, CA]. Dr. Dinov [[SOCR_Events_JMM_Jan2010 |presented the SOCR Resource]].

==2009==
* October 2009: A new major upgrade of [[SOCR_EduMaterials_AnalysesActivities |SOCR Analyses]] is released that fixed the appearance of the tabs on all SOCR analysis applets. The new version only shows the tabs that are appropriate for the specific SOCR Analysis chosen by the user. This upgrade of Analyses resolves this inconsistency and makes the navigation to data-input, variable-mapping and result-interpretation much more intuitive and user-friendly.
* September 2009: A new [http://forums.stat.ucla.edu/socr SOCR forum is introduced]. Users, instructors, students and developers may use this forum to post questions, learn about various SOCR datasets, tools, learning materials, and contribute to the SOCR knowledgebase.
* August 15-23, 2009 [http://www.statssa.gov.za/isi2009/index.aspx SOCR Organized Events at the 2009 International Statistical Institute Meeting]
** August 16, 2009, [[SOCR_Events_ISIW_Aug2009 | SOCR Workshop at 2009 ISI Meeting]].
** August 17, 2009, [[SOCR_Events_ISIS_Aug2009 | A special session entitled ''Interactive, Data-Driven and Technology-Enhanced Approaches for Probability and Statistics Education'']], organized by Ivo Dinov and Nicolas Christou at 2009 ISI Meeting.
* August 10, 2009: The [http://www.dailybruin.com/index.php/article/2009/08/ucla-professors-host-workshop-open-source-projects Daily Bruin published an article about SOCR], summarizing [http://wiki.stat.ucla.edu/socr/uploads/9/93/DailyBruin_UCLA_SOCR_Aug2009.pdf the project scope and interviewing Ivo Dinov and Nicolas Christou].
* August 10-12, 2009, [[SOCR_Events_Aug2009 | SOCR Training & Development Workshop]] at UCLA.
* August 03, 2009, [http://www.amstat.org/meetings/jsm/2009/onlineprogram/index.cfm?fuseaction=activity_details&activityid=164&sessionid=204418 Confidence Intervals using SOCR]. Nicolas Christou and Ivo Dinov are presenting SOCR at the [http://www.amstat.org/meetings/jsm/2009/ 2009 JSM Meeting in Washington, DC].
* June 27, 2009, Nicolas Christou [http://www.causeweb.org/uscots/uscots09/program/posters.pdf presented a poster (page 19)] at the [http://www.causeweb.org/uscots/uscots09/ 2009 USCOTS conference at OSU].
* April 16, 2009, SOCR Sponsored [http://cts.stat.ucla.edu/seminars/ Teaching Statistics Seminar] by [http://www.stat.tamu.edu/~west/ Webster West], 4-5 PM, Math Science 5137.
* January 05-08, 2009: Ivo Dinov will give 2 talks and present a poster at [http://www.ams.org/amsmtgs/2110_program.html 2009 Joint AMS/MAA Meeting in Washington, DC], January 05-08, 2009.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf Interactive, Data-Driven and Technology-Enhanced Approach for Probability and Statistics Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:MAACPE1 Demos and Strategies with Technology that Enhance Teaching and Learning Mathematics], Tuesday, January 06, 2009, 9:20AM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf 1046-E1-26], [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.pdf PDF Slides].
** [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS Statistics Online Computational Resource for Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS MAA Poster Session on Projects Supported by the NSF Division of Undergraduate Education], Tuesday, January 06, 2009, 2 PM, Blue Room and Foyer, Omni Shoreham Hotel.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf Integrated, Multidisciplinary and Technology-Enhanced Science Education: The Next Frontier], at a [http://www.ams.org/amsmtgs/2110_program_wednesday.html#2110:AMSCP28 Mathematics Education session], Wednesday, January 07, 2009, 1:15PM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf 1046-97-25], [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.pdf PDF Slides].

== 2008 ==
* November 17, 2008: [[SOCR_Overview_2008 | SOCR Presentation]] at [http://courses.stat.ucla.edu/index.php?term=08F&course=6637912&lecture=66379120 Statistics 495A] (Fall 2008).
* October 17, 2008: [[SOCR_Events_UCCP2008 | SOCR presentation at the UCCP/UCLA CDI meeting]] at at [http://www.cdi.ucla.edu/ UCLA CDI].
* September 27, 2008: Ivo Dinov is [[SOCR_Events_SMC2008 | presenting the SOCR resources]] at a continuing education event at Santa Monica College.
* September 17, 2008: The complete [[SOCR]] source code, v.2.5, was publicly released via the [http://socr.googlecode.com SOCR Google Code project page]. This new release contains the latest version of the [[SOCR]] libraries and all additional resources needed to revise, compile, package and deploy the entire [[SOCR]] resource on the Internet.
* August 14-15, 2008: Ivo Dinov is [[SOCR_Events_CCLI2008 | presenting the SOCR resource]] at the [http://www.ccliconference.com/ 2008 CCLI AAAS conference in Washington, DC].
* August 9, 2008: Nicolas Christou will present a seminar entitled [http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09#1090 Law of Large Numbers: The Theory, Applications and Technology-based Education], at the [http://mic08.merlot.org/program 2008 MERLOT International Conference] ([http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09 1:30-2:00 PM in the Conrad A Room]).
* August 2008: SOCR is releasing a new [http://www.esurveyspro.com/Survey.aspx?id=79ba4c38-b7d0-4530-aa00-12fdd32b6609 electronic polling survey to solicit open and anonymous community feedback on existing SOCR resources and recommendations for development of future SOCR materials and tools].
* August 2008, [http://www.amstat.org/meetings/jsm/2008 2009 Joint Statistics Meeting]
** Thu, 8/7/08, 10:30 AM - 12:20, Nicolas Christou is Chairing a session entitled [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=519&sessionid=203496 The Internet, Telecommunications, and Migration]
** Wed, 8/06/08, 2:00 PM - 3:50 PM, Nicolas Christou and Ivo Dinov are presenting [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=301649 Applications of Statistics in Finance Using the Statistics Online Computational Resource (SOCR)] in a special session on [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=451&sessionid=203500 Portfolio Analysis, Exchange Rates, Microstructure, and GARCH Models]
* July 29, 2008: Ivo Dinov will give a hands-on demonstration entitled [[SOCR_Events_July2008 | Using SOCR to Motivate Simulation Experiments in Middle and High School]] at the [http://censusatschool-california.stat.ucla.edu/ Second CensusAtSchool International Workshop], [http://censusatschool-california.stat.ucla.edu/ 3:15-4:00 PM, CCLIC Lab].
* July 07, 2008: [http://www.math.ucla.edu/~lvese Luminita Vese] and [http://www.stat.ucla.edu/~dinov Ivo Dinov] are co-organizing a [http://www.siam.org/meetings/is08/ SIAM Imaging Science] session on [http://meetings.siam.org/program.cfm?CONFCODE=IS08 Computational Science and Biology: The Challenges, Data, Methods and Tools] (MS4), [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6978 Part I] and [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6979 Part II].
* June 20, 2008: Nicolas Christou will present a seminar entitled [http://trc.ucdavis.edu/uc21st/concurrent.html Web-based, Data-driven Probability and Statistics Education], at the [http://trc.ucdavis.edu/uc21st/ UC21st Century - Teaching, Learning and Technology: Past, Present and Future] Conference ([http://trc.ucdavis.edu/uc21st/schedule.html 11:45AM - 12:30PM]). Video ([http://uocatdavis.wmod.llnwd.net/a2636/e1/TLTC/TLTC_Nicholas_Christou.wmv WMP], [http://webcast.ucdavis.edu/TLTC/ FLASH]) and [http://trc.ucdavis.edu/uc21st/proceedings/christou_dinov_uc21st.ppt PPT slides] ara available online.
* June 05, 2008: [[SOCR_Events_EOY2008 | SOCR End-of-Year Event]].
* [http://cts.stat.ucla.edu/seminars 2008 SOCR/CTS '''Seminars''']:
** Thursday May 29: [http://www.stat.berkeley.edu/~stark/ Phil Stark], [http://www.stat.berkeley.edu/ Department of Statistics, UC Berkeley], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, May 15: [http://www.stat.ucla.edu/~esfandia Mahtash Esfandiari] and Hai Nguyen, Dept. of Statisitics, UCLA
** Thursday, May 1: [http://www.stat.osu.edu/~dkp/ Dennis Pearl], [http://www.stat.osu.edu/ Dept. of Statistics, The Ohio State University]. "The Statistical Buffet" course redesign at OSU, [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, April 24: [http://mathequity.terc.edu/gw/html/Andeepage.html Andee Rubin], [http://www.terc.edu/ TERC], [http://cts.stat.ucla.edu/seminars/rubin.html Software as a Learning Context: the Case of TinkerPlots and Statistical Reasoning], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday April 10: [http://www.maths.qut.edu.au/profiles/macgillivray/ Helen MacGillvray], Queensland University of Technology, Australia, [http://cts.stat.ucla.edu/seminars/macgillvray.html Roles of Assessment in Learning of Statistics and Mathematics], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
* May 19, 2008: Dr. [http://www.stat.ucla.edu/~nchristo Nicolas Christou] will be awarded the prestigious [http://www.oid.ucla.edu/edtech/bpcaward Brian P. Copenhaver Award for Innovation in Teaching with Technology]. [[SOCR_Awards_Christou_BC2008 | More information about this event and Nicolas' contributions is available here]]. Nicolas Christou [http://www.oid.ucla.edu/edtech/bpcaward/2008-video-christou (video-stream) Interview] and [http://www.today.ucla.edu/campus/080520_online_stats-aid/ UCLA Today] article.
* May 05, 2008: Ivo Dinov will give a [http://www.amstat.org ASA]/[http://www.amstat.org/education/gaise/ GAISE] [[SOCR_Events_May2008 | Webinar for middle school teachers in various science and quantitative disciplines]].
* January 17-19, 2008, [http://www.hicstatistics.org/program_stats.htm 2008 Hawaii International Conference on Statistics, Mathematics and Related Fields], Honolulu, Hawaii:
** Nicolas Christou and Ivo Dinov will present [http://www.hicstatistics.org/STATS2008.pdf Statistics Online Computational Resource for Education: www.socr.ucla.edu];
** Priscilla Chui, Nicolas Christou and Ivo Dinov will present a talk on [http://www.hicstatistics.org/STATS2008.pdf Numbers and Sense].
* January 6-9, 2008: [http://www.ams.org/amsmtgs/2109_program.html Joint Mathematics Meetings (AMS/MAA), San Diego, CA].
** Annie Che, Nicolas Christou, Jenny Cui and Ivo Dinov will present a poster entitled [http://www.ams.org/amsmtgs/2109_program_monday.html SOCR Analyses: a free Internet-based Statistical Analysis Toolkit], on 01/07/08, 2-4 PM, as part of the [http://www.ams.org/amsmtgs/2109_program_monday.html NSF Division of Undergraduate Education] session.
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-P1-707) [http://www.ams.org/amsmtgs/2109_program_wednesday.html#2109:MAACPP2 Interactive Web-Based Probability Distribution Mathlets: www.SOCR.ucla.edu] at the [http://www.ams.org/amsmtgs/2109_abstracts/1035-p1-707.pdf MAA Session Mathlets and Web Resources for Mathematics and Statistics Education], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 1:20 PM, Wednesday Jan. 9, 2008].
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-62-1789) [http://www.ams.org/amsmtgs/2109_abstracts/1035-62-1789.pdf Generating Functions: Web-based SOCR Applets and Computational Library Interfaces], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 3:45 PM on Jan 09, 2008].

== 2007 ==
* Dec. 19. 2007, SOCR was added as a [http://apps.facebook.com/socrapp/ Facebook Application] and made available as a tool/plug-in to all FaceBook Users. To add the SOCR App to your Facebook page follow these steps:
** [http://www.facebook.com Login your Facebook account (or create one)]
** [http://apps.facebook.com/socrapp Visit the SOCR App home page]
** [http://www.facebook.com/apps/application.php?api_key=f7ba27416638bfa874514da430932a04 Add the SOCR App to your Applications by selecting '''add this application button''']
* Dec. 07, 2007, Dr. Dinov was interviewed and quoted in [http://wiki.stat.ucla.edu/socr/uploads/f/f9/WSJ_12_07_2007.pdf An article] in the [http://online.wsj.com/article/SB119698695198016514.html Wall Street Journal] about a paper by Leif Nelson (NYU) and Joseph Simmons (Yale) entitled [http://papers.ssrn.com/sol3/papers.cfm?abstract_id=946249 Moniker Maladies: When Names Sabotage Success]. In this article the authors present experimental designs and data to support hypotheses that ''unconscious behavior can insidiously undermine conscious pursuits''.
* Sept. 24, 2007: The [http://www.NSF.gov National Science Foundation (NSF)] extended the funding for the UCLA [[SOCR | Statistics Online Computational Resource (SOCR)]] for another 4 years (2007-2011). This is a great accomplishment for the [http://socr.ucla.edu/htmls/SOCR_Team.html SOCR team] and recognition of the SOCR Resource achievements since 2002. In the next 4 years, SOCR will design, test, validate, and disseminate 1) tools (applets, demos, GUI interfaces), 2) educational materials (activities, class notes, tutorials), and 3) resources (Statistics Online Computational Resource Wiki, consulting, workshops, etc.) More information is available [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0716055 online].
* Aug. 22-29, 2007: SOCR [http://wiki.stat.ucla.edu/socr/uploads/c/c4/SOCR_Abstract_Lisbon_ISI2007.pdf sampling and simulation resources] are going to be presented as an invited talk (Nicolas Christou) at the 2007 [http://www.isi2007.com.pt International Statistics Institute meeting (ISI)], Lisbon, Portugal, ([http://wiki.stat.ucla.edu/socr/uploads/7/7b/Christou_Dinov_Sanchez_ISI2007.pdf PDF Slides])
* Aug. 08-10, 2007: Nicolas Christou is invited to present the [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR Central Limit Theorem Applet and hands-on activity]] at the [http://mic07.merlot.org/program/index.php?sort=date&date=2007-08-09#904 2007 Multimedia Educational Resource for Learning and Online Teaching Conference], [http://conference.merlot.org/2007/ MERLOT], New Orleans, LA. ([http://wiki.stat.ucla.edu/socr/uploads/2/21/Christou_MERLOT_CLT_2007.pdf Talk PDF], [http://conference.merlot.org/2007/Thursday/merlot_clt_2007.ppt Talk PPT])
* Aug. 06-08, 2007: [[SOCR_Events_Aug2007 | SOCR/CAUSE Workshop]] at UCLA
* Aug. 01, 2007: [http://www.amstat.org/meetings/jsm/2007/ JSM] - Nicolas Christou will present [http://www.amstat.org/meetings/jsm/2007/onlineprogram/index.cfm?fuseaction=activity_details&activityid=465&sessionid=202134 Enhancing the Teaching of Statistics with Technology Using the Statistics Online Computational Resource (SOCR)] in Session 466, at 2:00 PM at the Joint Statistical Meetings in Salt Lake City, Utah, July 29-August 2, 2007 ([http://wiki.stat.ucla.edu/socr/uploads/5/52/Christou_Talk_JSM_Aug2007.pdf Abstract #309845], PDF).
* June 01 and June 08, 2007 (4PM): [http://www.socr.ucla.edu/docs/SOCR_talks_060107.html The State of the Statistics Online Computational Resources], Ivo Dinov will present at the [http://cts.stat.ucla.edu/seminars/ UCLA Statistics Teaching Seminar].
* May 21-22, 2007, [http://pages.stern.nyu.edu/~gsimon/ Gary Simon], [http://pages.stern.nyu.edu/ NYU Stern], will visit SOCR and give a [http://seminars.stat.ucla.edu/ seminar talk] (TBD).
* May 17-19, 2007: SOCR will be presented at an [http://wiki.stat.ucla.edu/socr/index.php/USCOTS_2007_Program_SOCR invited breakout session] of the [http://www.causeweb.org/uscots USCOTS 2007] (Juana Sanchez, Nicolas Christou and Ivo Dinov).
* Mar. 07, 2007. [http://wiki.stat.ucla.edu/socr/uploads/3/3c/TheNumbersGuy_WSJ_03_07_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117338464249431351-0ghR_0Jef5ubo6ZLbYIVoePRxrA_20070408.html?mod=tff_main_tff_top Wall Street Journal] discussing probability estimations quotes Ivo Dinov.
* Feb. 27, 2007. [http://wiki.stat.ucla.edu/socr/uploads/8/88/TheNumbersGuy_WSJ_02_23_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117207018272214963-M0nkHhnjRCR5_SIvOWHlNw2sCeE_20070324.html?mod=tff_main_tff_top Wall Street Journal] quotes the SOCR PI, Dr. Dinov.
* Jan. 08, 2007. [[SOCR]] was included in the [http://www.rsscse.org.uk/news/rssnewseducation.asp Royal Statistical Society News Brief]
* Jan. 05-08, 2007: [[SOCR]] Resource is presented at the [http://www.ams.org/amsmtgs/2098_intro.html Joint AMS/MAA meeting] in New Orleans, LA.
** Annie Che will present the [http://www.ams.org/amsmtgs/2098_progfull.html SOCR Analyses], Saturday January 6, 2007, 2:00 PM
** Ivo Dinov will give a talk on [http://www.ams.org/amsmtgs/2098_abstracts/1023-62-1.pdf SOCR Utilization and Assessment], Monday January 8, 2007, 2:45 PM, [http://www.ams.org/amsmtgs/2098_program_monday.html#2098:AMSCP28 AMS Session on Probability and Statistics]

== 2006 ==
* Ivo Dinov presented two talks at the 2006 American Medical Informatics Association ([http://www.amia.org AMIA]) [http://www.amia.org/meetings/f06/ Annual Meeting, Washington, DC]
** [http://www.amia.org/meetings/f06/showdoc.asp?DID=401 Biomedical Imaging Ontologies: Design Principles Enabling Interoperability for Imaging Applications, Tools, and Data], Nov. 11, 2006
** [http://www.amia.org/meetings/f06/showeve.asp?EID=S14 Seeing Biomedicine: New Opportunities and Research Challenges at the Intersection of Biomedical Imaging and Informatics], Nov. 13, 2006
* Maria Pilar Munoz, Dept. of Statistics, North Carolina State University, visited SOCR and gave a talk on [http://seminars.stat.ucla.edu/ ''Formal Assessment of a Web-based Tool Designed to Improve Student Performance in Statistics''], Tuesday, November 21, 2006, 3-4 pm; 6627 Math Sciences Bldg. Seminar#: 297.
* Juana Sanchez presented [http://www.socr.ucla.edu/docs/Sanchez_SOCR_JSM_2006.pdf SOCR Usage and Validation] at the [http://www.amstat.org/meetings/jsm/2006/onlineprogram/index.cfm?fuseaction=activity_details&activityid=148&sessionid=201662 Section on Statistical Education] of the [http://www.amstat.org/meetings/jsm/2006 Joint Statistics Meeting], August 2006, Seattle, WA.
* Juana Sanchez presented various SOCR Activities at the [http://www.maths.otago.ac.nz/icots7 ICOTS7], July 2006.
* Nicolas Christou gave a SOCR Colloquium Talk at the department of [http://www.mas.ucy.ac.cy/ Mathematics & Statistics, University of Cyprus], June 2006.
* [http://www.loni.ucla.edu/CCB/training.aspx?id=2912 2006 SIAM Symposia on Brain Segmentation], May 15-17, 2006 in Minneapolis, Minnesota, USA. Ivo Dinov organized a symposium at the [http://www.siam.org/meetings/is06 2006 SIAM Conference on Imaging Science] entitled ''Mathematical Methods and Tools for Volumetric Brain Segmentation''.
* Ivo Dinov presented the SOCR Resource at the [http://www.ams.org/amsmtgs/2095_intro.html Joint AMS/MAA joint Meeting], San Antonio, TX, January 2006

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_News}}

AP Statistics Curriculum 2007 Hypothesis S Mean

2013-06-07T04:42:56Z

IvoDinov: /* Example */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Testing a Claim about a Mean: Small Samples==

=== Testing a Claim about a Mean: Small Samples===

The [[AP_Statistics_Curriculum_2007_Hypothesis_L_Mean | previous section discussed inference on the population mean for large smaples]]. Now, we show how to do hypothesis testing of the mean for small sample-sizes.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* For a given small <math>\alpha</math> (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.), the <math>(1-\alpha)100%</math> Confidence interval for the mean is constructed by
: <math>CI(\alpha): \overline{x} \pm t_{df=n-1,{\alpha\over 2}} {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}</math>
: and <math>t_{df=n-1, {\alpha\over 2}}</math> is the [[AP_Statistics_Curriculum_2007_Normal_Critical | critical value]] for a [[AP_Statistics_Curriculum_2007_StudentsT |T-distribution]] of df=(sample size - 1) at <math>{\alpha\over 2}</math>.

=== Hypothesis Testing about a Mean: Small Samples===
* Null Hypothesis: <math>H_o: \mu=\mu_o</math> (e.g., 0)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu >\mu_o</math>, or <math>H_o: \mu<\mu_o</math>
** Double sided: \(H_1: \mu \not= \mu_o\)

====Normal Process with Known Variance====
* If the population is Normally distributed and we know the population variance, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test statistics] is:
: <math>Z_o = {\overline{x} - \mu_o \over {\sigma \over \sqrt{n}}} \sim N(0,1)</math>.

====(Approximately) Normal Process with Unknown Variance====
* If the population is approximately Normally distributed and we do not know the population variance, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test statistics] is:
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {\overline{x} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}} \sim T_{(df=n-1)}</math>.

===Example===
Let's use again the small-sample example of the [[AP_Statistics_Curriculum_2007_Estim_L_Mean | ''number of sentences per advertisement'']], where we measure the readability for magazine advertisements. A random sample of the number of sentences found in 10 magazine advertisements is listed below. Suppose we want to test at <math>\alpha=0.01</math> a null hypothesis: <math>H_o: \mu=12</math> against a one-sided research alternative hypothesis: <math>H_1: \mu > 12</math>. Recall that we had the following [[AP_Statistics_Curriculum_2007_Estim_S_Mean#Example |sample statistics: '''sample-mean=22.1, sample-variance=737.88 and sample-SD=27.16390579''']] for these data.
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 16 || 9 || 14 || 11|| 17 || 12|| 99 || 18 || 13|| 12
|}
</center>

As the population variance is not given, we have to use the [[AP_Statistics_Curriculum_2007_StudentsT |T-statistics]]: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} \sim T(df=9)</math>
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {22.1 - 12 \over {{1\over \sqrt{10}} \sqrt{\sum_{i=1}^{10}{(x_i-22.1)^2\over 9}}}}=1.176</math>.
: <math>p-value=P(T_{(df=9)}>T_o=1.176)=0.134882</math> for this (one-sided) test. Therefore, we '''cannot reject''' the null hypothesis at <math>\alpha=0.01</math>! The left white area at the tails of the T(df=9) distribution depicts graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, this area is 0.134882, which is larger than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.01</math> and we cannot reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig4.jpg|600px]]</center>

* You can also use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig5.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Smaple T-test Activity]] provides additional hands-on demonstrations of one-sample hypothesis testing.

===Examples===

====Cavendish Mean Density of the Earth====
A number of famous early experiments of measuring physical constants have later been shown to be biased. In the 1700's [http://en.wikipedia.org/wiki/Henry_Cavendish Henry Cavendish] measured the [http://www.jstor.org/stable/pdfplus/107617.pdf mean density of the Earth]. Formulate and test null and research hypotheses about these data regarding the now known exact mean-density value = 5.517. These sample statistics may be helpful
: n = 23, sample mean = 5.483, sample SD = 0.1904
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 5.36 || 5.29 || 5.58 || 5.65 || 5.57 || 5.53 || 5.62 || 5.29 || 5.44 || 5.34 || 5.79 || 5.10 || 5.27 || 5.39 || 5.42 || 5.47 || 5.63 || 5.34 || 5.46 || 5.30 || 5.75 || 5.68 || 5.85
|}
</center>

<hr>

===Hypothesis Testing Summary===
Important parts of Hypothesis test conclusions:
* Decision (significance or no significance)
* Parameter of interest
* Variable of interest
* Population under study
* (optional but preferred) P-value

=== Parallels between Hypothesis Testing and Confidence Intervals===
These are different methods for coping with the uncertainty about the true value of a parameter caused by the sampling variation in estimates.

* [[AP_Statistics_Curriculum_2007_Estim_L_Mean | Confidence intervals]]: A fixed level of confidence is chosen. We determine a range of possible values for the parameter that are consistent with the data (at the chosen confidence level).

* Hypothesis (Significance) testing: Only one possible value for the parameter, called the hypothesized value, is tested. We determine the strength of the evidence (confidence) provided by the data against the proposition that the hypothesized value is the true value.

===[[EBook_Problems_Hypothesis_S_Mean|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Hypothesis_S_Mean}}

AP Statistics Curriculum 2007 Hypothesis S Mean

2013-06-07T04:42:04Z

IvoDinov: /* (Approximately) Normal Process with Unknown Variance */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Testing a Claim about a Mean: Small Samples==

=== Testing a Claim about a Mean: Small Samples===

The [[AP_Statistics_Curriculum_2007_Hypothesis_L_Mean | previous section discussed inference on the population mean for large smaples]]. Now, we show how to do hypothesis testing of the mean for small sample-sizes.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* For a given small <math>\alpha</math> (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.), the <math>(1-\alpha)100%</math> Confidence interval for the mean is constructed by
: <math>CI(\alpha): \overline{x} \pm t_{df=n-1,{\alpha\over 2}} {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}</math>
: and <math>t_{df=n-1, {\alpha\over 2}}</math> is the [[AP_Statistics_Curriculum_2007_Normal_Critical | critical value]] for a [[AP_Statistics_Curriculum_2007_StudentsT |T-distribution]] of df=(sample size - 1) at <math>{\alpha\over 2}</math>.

=== Hypothesis Testing about a Mean: Small Samples===
* Null Hypothesis: <math>H_o: \mu=\mu_o</math> (e.g., 0)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu >\mu_o</math>, or <math>H_o: \mu<\mu_o</math>
** Double sided: \(H_1: \mu \not= \mu_o\)

====Normal Process with Known Variance====
* If the population is Normally distributed and we know the population variance, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test statistics] is:
: <math>Z_o = {\overline{x} - \mu_o \over {\sigma \over \sqrt{n}}} \sim N(0,1)</math>.

====(Approximately) Normal Process with Unknown Variance====
* If the population is approximately Normally distributed and we do not know the population variance, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test statistics] is:
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {\overline{x} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}} \sim T_{(df=n-1)}</math>.

===Example===
Let's use again the small-sample example of the [[AP_Statistics_Curriculum_2007_Estim_L_Mean | ''number of sentences per advertisement'']], where we measure the readability for magazine advertisements. A random sample of the number of sentences found in 10 magazine advertisements is listed below. Suppose we want to test at <math>\alpha=0.01</math> a null hypothesis: <math>H_o: \mu=12</math> against a one-sided research alternative hypothesis: <math>H_1: \mu > 12</math>. Recall that we had the following [[AP_Statistics_Curriculum_2007_Estim_S_Mean#Example |sample statistics: '''sample-mean=22.1, sample-variance=737.88 and sample-SD=27.16390579''']] for these data.
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 16 || 9 || 14 || 11|| 17 || 12|| 99 || 18 || 13|| 12
|}
</center>

As the population variance is not given, we have to use the [[AP_Statistics_Curriculum_2007_StudentsT |T-statistics]]: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} \sim T(df=9)</math>
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {22.1 - 12 \over {{1\over \sqrt{10}} \sqrt{\sum_{i=1}^{10}{(x_i-22.1)^2\over 9}}})}=1.176</math>.
: <math>p-value=P(T_{(df=9)}>T_o=1.176)=0.134882</math> for this (one-sided) test. Therefore, we '''cannot reject''' the null hypothesis at <math>\alpha=0.01</math>! The left white area at the tails of the T(df=9) distribution depicts graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, this area is 0.134882, which is larger than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.01</math> and we cannot reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig4.jpg|600px]]</center>

* You can also use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig5.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Smaple T-test Activity]] provides additional hands-on demonstrations of one-sample hypothesis testing.

===Examples===

====Cavendish Mean Density of the Earth====
A number of famous early experiments of measuring physical constants have later been shown to be biased. In the 1700's [http://en.wikipedia.org/wiki/Henry_Cavendish Henry Cavendish] measured the [http://www.jstor.org/stable/pdfplus/107617.pdf mean density of the Earth]. Formulate and test null and research hypotheses about these data regarding the now known exact mean-density value = 5.517. These sample statistics may be helpful
: n = 23, sample mean = 5.483, sample SD = 0.1904
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 5.36 || 5.29 || 5.58 || 5.65 || 5.57 || 5.53 || 5.62 || 5.29 || 5.44 || 5.34 || 5.79 || 5.10 || 5.27 || 5.39 || 5.42 || 5.47 || 5.63 || 5.34 || 5.46 || 5.30 || 5.75 || 5.68 || 5.85
|}
</center>

<hr>

===Hypothesis Testing Summary===
Important parts of Hypothesis test conclusions:
* Decision (significance or no significance)
* Parameter of interest
* Variable of interest
* Population under study
* (optional but preferred) P-value

=== Parallels between Hypothesis Testing and Confidence Intervals===
These are different methods for coping with the uncertainty about the true value of a parameter caused by the sampling variation in estimates.

* [[AP_Statistics_Curriculum_2007_Estim_L_Mean | Confidence intervals]]: A fixed level of confidence is chosen. We determine a range of possible values for the parameter that are consistent with the data (at the chosen confidence level).

* Hypothesis (Significance) testing: Only one possible value for the parameter, called the hypothesized value, is tested. We determine the strength of the evidence (confidence) provided by the data against the proposition that the hypothesized value is the true value.

===[[EBook_Problems_Hypothesis_S_Mean|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Hypothesis_S_Mean}}

SOCR Data BMI Regression

2013-06-06T21:35:52Z

IvoDinov: /* Data Description */

== [[SOCR Data]] - SOCR Body Density Data ==

==Summary==
This is a comprehensive dataset that lists estimates of the percentage of body fat determined by underwater weighing and various body circumference measurements for 252 men.

==Classroom use of this data set==
[[Image:SOCR_Data_Dinov_BMI_062408_Fig1.png|150px|thumbnail|right| [http://www.stat.ucla.edu/%7Edinov/courses_students.dir/07/Fall/STAT13.1.dir/STAT13_notes.dir/BMI_Calculator.html Body Mass Index] ]]

This data set can be used to illustrate multiple regression techniques. Accurate measurement of body fat is inconvenient/costly and it is desirable to have easy methods of estimating body fat that are cost-effective and convenient.

References to the [http://apps.who.int/bmi/index.jsp BMI index by country/region] and [http://www.fao.org/docrep/004/Y3557E/y3557e13.htm#v per capita food consumption and undernourishment (calories)] may be appropriate when discussing BMI.

==Siri's Equation==
A variety of popular health books suggest that the readers assess their health, at least in part, by estimating their percentage of body fat. In Bailey (1994), for instance, the reader can estimate body fat from tables using their age and various skin-fold measurements obtained by using a caliper. Other texts give predictive equations for body fat using body circumference measurements (e.g. abdominal circumference) and/or skin-fold measurements ([[SOCR_Data_BMI_Regression#References | Behnke and Wilmore, 1974, pp. 66-67; Wilmore, 1976, p. 247; or Katch and McArdle, 1977, pp. 120-132]]).

Percentage of body fat for an individual can be estimated once body density has been determined. Siri (1956) assumes that the body consists of two components - lean body tissue and fat tissue.
* Suppose we let:
** ''D'' = Body Density (gm/cm3)
** ''A'' = proportion of lean body tissue
** ''B'' = proportion of fat tissue (A+B=1)
** ''a'' = density of lean body tissue (gm/cm3)
** ''b'' = density of fat tissue (gm/cm3)
*Then, we have <math>D = {1 \over {A \over a} + {B\over b}}</math> and solving for ''B'' we find
<math>B = {1\over D}\times{a b\over a-b} - {b\over a-b}</math>. Using the estimates ''a=1.10 gm/cm3'' and ''b=0.90 gm/cm3'' ([[SOCR_Data_BMI_Regression#References | Katch and McArdle, 1977, p. 111 or Wilmore, 1976, p. 123]]) we come up with '''Siri's equation''': Percentage of Body Fat <math>PBF = 100\times B = {495\over D} - 450</math>.

==Estimation of Body Density (BD)==
Volume, and hence body density, can be accurately measured a variety of ways. The technique of underwater weighing ''computes body volume as the difference
between body weight measured in air and weight measured during water
submersion. In other words, body volume is equal to the loss of weight in
water with the appropriate temperature correction for the water's density'' (Katch and McArdle, 1977, p. 113). Using this technique, <math>BD = {WA\over {WA-WW\over CF} - LV}</math>, where
* ''WA'' = Weight in air (kg)
* ''WW'' = Weight in water (kg)
* ''CF'' = Water correction factor. CF=1 at 4o C (Celsius) as one-gram of water occupies exactly one cm3 of space, and CF=0.997 at 25o C)
* ''LV'' = Residual Lung Volume (liters) [[SOCR_Data_BMI_Regression#References | Katch and McArdle (1977), p. 115]].
Other methods of determining body volume are given in [[SOCR_Data_BMI_Regression#References | Behnke and Wilmore, 1974, p. 22]].

==BMI Calculators==
There are many body-mass-index calculators. Here are some examples:
* [http://www.stat.ucla.edu/%7Edinov/courses_students.dir/07/Fall/STAT13.1.dir/STAT13_notes.dir/BMI_Calculator.html This BMI calculator] allows data in various formats and includes interpretations of the results.
* [http://www.nutritiondata.com/tools/calories-burned This is a complex BMI calculator that also computes your daily burned calories (based on your life-style) and estimates your daily calorie intake].

==Data Description==
The body density dataset includes the following 15 variables listed from left to right:
* Density determined from underwater weighing
* Percent body fat from [[SOCR_Data_BMI_Regression#References | Siri's (1956) equation]]
* Age (years)
* Weight (kg)
* Height (cm)
* Neck circumference (cm)
* Chest circumference (cm)
* Abdomen 2 circumference (cm)
* Hip circumference (cm)
* Thigh circumference (cm)
* Knee circumference (cm)
* Ankle circumference (cm)
* Biceps (extended) circumference (cm)
* Forearm circumference (cm)
* Wrist circumference (cm)
* '''Notes'''
** The measurement standards are listed in Benhke and Wilmore, 1974, pp. 45-48, where, for instance, the abdomen 2 circumference is ''measured laterally, at the level of the iliac crests, and anteriorly, at the umbilicus''.
** These data are used to produce the predictive equations for lean body weight given in the abstract ''Generalized body composition prediction equation for men using simple measurement techniques'', K.W. Penrose, A.G. Nelson, A.G. Fisher, FACSM, Human Performance Research Center, Brigham Young University, Provo, Utah 84602 as listed in [http://journals.lww.com/acsm-msse/Citation/1985/04000/Generalized_Body_Composition_Prediction_Equation.37.aspx Medicine and Science in Sports and Exercise], vol. 17, no. 2, April 1985, p. 189.
** The predictive equations were obtained from ''training'' data (the first 143 of the 252 cases that are listed in the spreadsheet below). The remaining 109 cases may be used for ''testing''.
** These data were generously supplied by Dr. A. Garth Fisher who gave permission to freely distribute the data and use for non-commercial purposes.
** The data is also available [http://wiki.stat.ucla.edu/niser/uploads/0/0d/NISER_Data_BMI_Regression_Dataset.pdf in PDF format].
** The [http://www.stat.ucla.edu/~dinov/courses_students.dir/07/Fall/STAT13.1.dir/STAT13_notes.dir/BMI_Calculator.html body-mass-index is defined by]: <math>BMI = {Weight(kg)\over Height^2(m)}</math>.

==Data Table==
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| '''UnderwaterDensity ''' || '''BodyFatSiriEqu ''' || '''Age ''' || '''Height ''' || '''Weight'''(kg) || '''NeckCircumf''' || '''ChestCircumf ''' || '''Abdomen2Circumf ''' || '''HipCircumf''' || '''ThighCircumf ''' || '''KneeCircumf ''' || '''AnkleCircumf ''' || '''ExtendBicepsCircumf ''' || '''ForearmCircumf ''' || '''WristCircumf'''
|-
| | 1.0708 || 12.3 || 23 || 172.085 || 69.96662 || 36.2 || 93.1 || 85.2 || 94.5 || 59 || 37.3 || 21.9 || 32 || 27.4 || 17.1
|-
| 1.0853 || 6.1 || 22 || 183.515 || 78.58488 || 38.5 || 93.6 || 83 || 98.7 || 58.7 || 37.3 || 23.4 || 30.5 || 28.9 || 18.2
|-
| 1.0414 || 25.3 || 22 || 168.275 || 69.85322 || 34 || 95.8 || 87.9 || 99.2 || 59.6 || 38.9 || 24 || 28.8 || 25.2 || 16.6
|-
| 1.0751 || 10.4 || 26 || 183.515 || 83.80119 || 37.4 || 101.8 || 86.4 || 101.2 || 60.1 || 37.3 || 22.8 || 32.4 || 29.4 || 18.2
|-
| 1.034 || 28.7 || 24 || 180.975 || 83.57439 || 34.4 || 97.3 || 100 || 101.9 || 63.2 || 42.2 || 24 || 32.2 || 27.7 || 17.7
|-
| 1.0502 || 20.9 || 24 || 189.865 || 95.3678 || 39 || 104.5 || 94.4 || 107.8 || 66 || 42 || 25.6 || 35.7 || 30.6 || 18.8
|-
| 1.0549 || 19.2 || 26 || 177.165 || 82.10022 || 36.4 || 105.1 || 90.7 || 100.3 || 58.4 || 38.3 || 22.9 || 31.9 || 27.8 || 17.7
|-
| 1.0704 || 12.4 || 25 || 184.15 || 79.83226 || 37.8 || 99.6 || 88.5 || 97.1 || 60 || 39.4 || 23.2 || 30.5 || 29 || 18.8
|-
| 1.09 || 4.1 || 25 || 187.96 || 86.63614 || 38.1 || 100.9 || 82.5 || 99.9 || 62.9 || 38.3 || 23.8 || 35.9 || 31.1 || 18.2
|-
| 1.0722 || 11.7 || 23 || 186.69 || 89.92469 || 42.1 || 99.6 || 88.6 || 104.1 || 63.1 || 41.7 || 25 || 35.6 || 30 || 19.2
|-
| 1.083 || 7.1 || 26 || 189.23 || 84.48158 || 38.5 || 101.5 || 83.6 || 98.2 || 59.7 || 39.7 || 25.2 || 32.8 || 29.4 || 18.5
|-
| 1.0812 || 7.8 || 27 || 193.04 || 97.97595 || 39.4 || 103.6 || 90.9 || 107.7 || 66.2 || 39.2 || 25.9 || 37.2 || 30.2 || 19
|-
| 1.0513 || 20.8 || 32 || 176.53 || 81.87342 || 38.4 || 102 || 91.6 || 103.9 || 63.4 || 38.3 || 21.5 || 32.5 || 28.6 || 17.7
|-
| 1.0505 || 21.2 || 30 || 180.975 || 93.09983 || 39.4 || 104.1 || 101.8 || 108.6 || 66 || 41.5 || 23.7 || 36.9 || 31.6 || 18.8
|-
| 1.0484 || 22.1 || 35 || 176.53 || 85.16197 || 40.5 || 101.3 || 96.4 || 100.1 || 69 || 39 || 23.1 || 36.1 || 30.5 || 18.2
|-
| 1.0512 || 20.9 || 35 || 167.64 || 73.82216 || 36.4 || 99.1 || 92.8 || 99.2 || 63.1 || 38.7 || 21.7 || 31.1 || 26.4 || 16.9
|-
| 1.0333 || 29 || 34 || 180.34 || 88.79071 || 38.9 || 101.9 || 96.4 || 105.2 || 64.8 || 40.8 || 23.1 || 36.2 || 30.8 || 17.3
|-
| 1.0468 || 22.9 || 32 || 180.34 || 94.9142 || 42.1 || 107.6 || 97.5 || 107 || 66.9 || 40 || 24.4 || 38.2 || 31.6 || 19.3
|-
| 1.0622 || 16 || 28 || 172.085 || 83.3476 || 38 || 106.8 || 89.6 || 102.4 || 64.2 || 38.7 || 22.9 || 37.2 || 30.5 || 18.5
|-
| 1.061 || 16.5 || 33 || 186.69 || 96.04818 || 40 || 106.2 || 100.5 || 109 || 65.8 || 40.6 || 24 || 37.1 || 30.1 || 18.2
|-
| 1.0551 || 19.1 || 28 || 172.72 || 81.19303 || 39.1 || 103.3 || 95.9 || 104.9 || 63.5 || 38 || 22.1 || 32.5 || 30.3 || 18.4
|-
| 1.064 || 15.2 || 28 || 177.165 || 90.94527 || 41.3 || 111.4 || 98.8 || 104.8 || 63.4 || 40.6 || 24.6 || 33 || 32.8 || 19.9
|-
| 1.0631 || 15.6 || 31 || 173.355 || 63.61633 || 33.9 || 86 || 76.4 || 94.6 || 57.4 || 35.3 || 22.2 || 27.9 || 25.9 || 16.7
|-
| 1.0584 || 17.7 || 32 || 177.8 || 67.47187 || 35.5 || 86.7 || 80 || 93.4 || 54.9 || 36.2 || 22.1 || 29.8 || 26.7 || 17.1
|-
| 1.0668 || 14 || 28 || 172.085 || 68.60585 || 34.5 || 90.2 || 76.3 || 95.8 || 58.4 || 35.5 || 22.9 || 31.1 || 28 || 17.6
|-
| 1.0911 || 3.7 || 27 || 181.61 || 72.23458 || 35.7 || 89.6 || 79.7 || 96.5 || 55 || 36.7 || 22.5 || 29.9 || 28.2 || 17.7
|-
| 1.0811 || 7.9 || 34 || 171.45 || 59.6474 || 36.2 || 88.6 || 74.6 || 85.3 || 51.7 || 34.7 || 21.4 || 28.7 || 27 || 16.5
|-
| 1.0468 || 22.9 || 31 || 171.45 || 67.13167 || 38.8 || 97.4 || 88.7 || 94.7 || 57.5 || 36 || 21 || 29.2 || 26.6 || 17
|-
| 1.091 || 3.7 || 27 || 164.465 || 60.44118 || 36.4 || 93.5 || 73.9 || 88.5 || 50.1 || 34.5 || 21.3 || 30.5 || 27.9 || 17.2
|-
| 1.079 || 8.8 || 29 || 175.26 || 72.91497 || 36.7 || 97.4 || 83.5 || 98.7 || 58.9 || 35.3 || 22.6 || 30.1 || 26.7 || 17.6
|-
| 1.0716 || 11.9 || 32 || 187.325 || 82.55381 || 38.7 || 100.5 || 88.7 || 99.8 || 57.5 || 38.7 || 33.9 || 32.5 || 27.7 || 18.4
|-
| 1.0862 || 5.7 || 29 || 180.975 || 72.68818 || 37.3 || 93.5 || 84.5 || 100.6 || 58.5 || 38.8 || 21.5 || 30.1 || 26.4 || 17.9
|-
| 1.0719 || 11.8 || 27 || 180.975 || 76.20352 || 38.1 || 93 || 79.1 || 94.5 || 57.3 || 36.2 || 24.5 || 29 || 30 || 18.8
|-
| 1.0502 || 21.3 || 41 || 180.34 || 99.10993 || 39.8 || 111.7 || 100.5 || 108.3 || 67.1 || 44.2 || 25.2 || 37.5 || 31.5 || 18.7
|-
| 1.0263 || 32.3 || 41 || 186.69 || 112.1507 || 42.1 || 117 || 115.6 || 116.1 || 71.2 || 43.3 || 26.3 || 37.3 || 31.7 || 19.7
|-
| 1.0101 || 40.1 || 49 || 165.1 || 86.97634 || 38.4 || 118.5 || 113.1 || 113.8 || 61.9 || 38.3 || 21.9 || 32 || 29.8 || 17
|-
| 1.0438 || 24.2 || 40 || 177.8 || 91.73906 || 38.5 || 106.5 || 100.9 || 106.2 || 63.5 || 39.9 || 22.6 || 35.1 || 30.6 || 19
|-
| 1.0346 || 28.4 || 50 || 173.355 || 89.2443 || 42.1 || 105.6 || 98.8 || 104.8 || 66 || 41.5 || 24.7 || 33.2 || 30.5 || 19.4
|-
| 1.0202 || 35.2 || 46 || 183.515 || 164.7221 || 51.2 || 136.2 || 148.1 || 147.7 || 87.3 || 49.1 || 29.6 || 45 || 29 || 21.4
|-
| 1.0258 || 32.6 || 50 || 170.18 || 92.07925 || 40.2 || 114.8 || 108.1 || 102.5 || 61.3 || 41.1 || 24.7 || 34.1 || 31 || 18.3
|-
| 1.0217 || 34.5 || 45 || 174.625 || 119.1814 || 43.2 || 128.3 || 126.2 || 125.6 || 72.5 || 39.6 || 26.6 || 36.4 || 32.7 || 21.4
|-
| 1.025 || 32.9 || 44 || 74.93 || 92.98644 || 36.6 || 106 || 104.3 || 115.5 || 70.6 || 42.5 || 23.7 || 33.6 || 28.7 || 17.4
|-
| 1.0279 || 31.6 || 48 || 177.8 || 98.42954 || 37.3 || 113.3 || 111.2 || 114.1 || 67.7 || 40.9 || 25 || 36.7 || 29.8 || 18.4
|-
| 1.0269 || 32 || 41 || 181.61 || 96.16158 || 41.5 || 106.6 || 104.3 || 106 || 65 || 40.2 || 23 || 35.8 || 31.5 || 18.8
|-
| 1.0814 || 7.7 || 39 || 172.72 || 56.81244 || 31.5 || 85.1 || 76 || 88.2 || 50 || 34.7 || 21 || 26.1 || 23.1 || 16.1
|-
| 1.067 || 13.9 || 43 || 186.055 || 74.50255 || 35.7 || 96.6 || 81.5 || 97.2 || 58.4 || 38.2 || 23.4 || 29.7 || 27.4 || 18.3
|-
| 1.0742 || 10.8 || 40 || 171.45 || 60.55458 || 33.6 || 88.2 || 73.7 || 88.5 || 53.3 || 34.5 || 22.5 || 27.9 || 26.2 || 17.3
|-
| 1.0665 || 5.6 || 39 || 180.975 || 67.35847 || 34.6 || 89.8 || 79.5 || 92.7 || 52.7 || 37.5 || 21.9 || 28.8 || 26.8 || 17.9
|-
| 1.0678 || 13.6 || 45 || 173.99 || 61.57516 || 32.8 || 92.3 || 83.4 || 90.4 || 52 || 35.8 || 20.6 || 28.8 || 25.5 || 16.3
|-
| 1.0903 || 4 || 47 || 169.545 || 57.83303 || 34 || 83.4 || 70.4 || 87.2 || 50.6 || 34.4 || 21.9 || 26.8 || 25.8 || 16.8
|-
| 1.0756 || 10.2 || 47 || 183.515 || 71.78099 || 34.9 || 90.2 || 86.7 || 98.3 || 52.6 || 37.2 || 22.4 || 26 || 25.8 || 17.3
|-
| 1.084 || 6.6 || 40 || 175.26 || 63.16274 || 34.3 || 89.2 || 77.9 || 91 || 51.4 || 34.9 || 21 || 26.7 || 26.1 || 17.2
|-
| 1.0807 || 8 || 51 || 172.085 || 62.25555 || 36.5 || 89.7 || 82 || 89.1 || 49.3 || 33.7 || 21.4 || 29.6 || 26 || 16.9
|-
| 1.0848 || 6.3 || 49 || 186.69 || 69.28623 || 35.1 || 93.3 || 79.6 || 91.6 || 52.6 || 37.6 || 22.6 || 38.5 || 27.4 || 18.5
|-
| 1.0906 || 3.9 || 42 || 171.45 || 61.80196 || 37.8 || 87.6 || 77.6 || 88.6 || 51.9 || 34.9 || 22.5 || 27.7 || 27.5 || 18.5
|-
| 1.0473 || 22.6 || 54 || 182.88 || 89.81129 || 39.9 || 107.6 || 100 || 99.6 || 57.2 || 38 || 22 || 35.9 || 30.2 || 18.9
|-
| 1.0524 || 20.4 || 58 || 172.72 || 82.32702 || 39.1 || 100 || 99.8 || 102.5 || 62.1 || 39.6 || 22.5 || 33.1 || 28.3 || 18.5
|-
| 1.0356 || 28 || 62 || 176.53 || 91.28546 || 40.5 || 111.5 || 104.2 || 105.8 || 61.8 || 39.8 || 22.7 || 37.7 || 30.9 || 19.2
|-
| 1.028 || 31.5 || 54 || 179.705 || 91.85245 || 40.5 || 115.4 || 105.3 || 97 || 59.1 || 38 || 22.5 || 31.6 || 28.8 || 18.2
|-
| 1.043 || 24.6 || 61 || 167.005 || 81.53323 || 38.4 || 104.8 || 98.3 || 99.6 || 60.6 || 37.7 || 22.9 || 34.5 || 29.6 || 18.5
|-
| 1.0396 || 26.1 || 62 || 186.055 || 97.97595 || 41.4 || 112.3 || 104.8 || 103.1 || 61.6 || 40.9 || 23.1 || 36.2 || 31.8 || 20.2
|-
| 1.0317 || 29.8 || 56 || 173.99 || 81.07964 || 35.6 || 102.9 || 94.7 || 100.8 || 60.9 || 38 || 22.1 || 32.5 || 29.8 || 18.3
|-
| 1.0298 || 30.7 || 54 || 178.435 || 87.65673 || 38 || 107.6 || 102.4 || 99.4 || 61 || 39.4 || 23.6 || 32.7 || 29.9 || 19.1
|-
| 1.0403 || 25.8 || 61 || 170.18 || 80.73944 || 37.4 || 105.3 || 99.7 || 99.7 || 60.8 || 40.1 || 22.7 || 33.6 || 29 || 18.8
|-
| 1.0264 || 32.3 || 57 || 177.8 || 93.21323 || 40.1 || 105.3 || 105.5 || 108.3 || 65 || 41.2 || 24.7 || 35.3 || 31.1 || 18.4
|-
| 1.0313 || 30 || 55 || 171.45 || 83.2342 || 40.9 || 103 || 100.3 || 104.2 || 64.8 || 40.2 || 22.7 || 34.8 || 30.1 || 18.7
|-
| 1.0499 || 21.5 || 54 || 179.705 || 68.71924 || 35.6 || 90 || 83.9 || 93.9 || 55 || 36.1 || 21.7 || 29.6 || 27.4 || 17.4
|-
| 1.0673 || 13.8 || 55 || 181.61 || 70.19342 || 36.9 || 95.4 || 86.6 || 91.8 || 54.3 || 35.4 || 21.5 || 32.8 || 27.4 || 18.7
|-
| 1.0847 || 6.3 || 54 || 175.895 || 70.42022 || 37.5 || 89.3 || 78.4 || 96.1 || 56 || 37.4 || 22.4 || 32.6 || 28.1 || 18.1
|-
| 1.0693 || 12.9 || 55 || 181.61 || 71.1006 || 36.3 || 94.4 || 84.6 || 94.3 || 51.2 || 37.4 || 21.6 || 27.3 || 27.1 || 17.3
|-
| 1.0439 || 24.3 || 62 || 181.61 || 75.97672 || 35.5 || 97.6 || 91.5 || 98.5 || 56.6 || 38.6 || 22.4 || 31.5 || 27.3 || 18.6
|-
| 1.0788 || 8.8 || 55 || 174.625 || 66.56468 || 38.7 || 88.5 || 82.8 || 95.5 || 58.9 || 37.6 || 21.6 || 30.3 || 27.3 || 18.3
|-
| 1.0796 || 8.5 || 56 || 187.325 || 72.91497 || 36.4 || 93.6 || 82.9 || 96.3 || 52.9 || 37.5 || 23.1 || 29.7 || 27.3 || 18.2
|-
| 1.068 || 13.5 || 55 || 162.56 || 56.69905 || 33.2 || 87.7 || 76 || 88.6 || 50.9 || 35.4 || 19.1 || 29.3 || 25.7 || 16.9
|-
| 1.072 || 11.8 || 61 || 167.005 || 64.86371 || 36.5 || 93.4 || 83.3 || 93 || 55.5 || 35.2 || 20.9 || 29.4 || 27 || 16.8
|-
| 1.0666 || 18.5 || 61 || 171.45 || 67.24507 || 36 || 91.6 || 81.8 || 94.8 || 54.5 || 37 || 21.4 || 29.3 || 27 || 18.3
|-
| 1.079 || 8.8 || 57 || 176.53 || 73.70876 || 38.7 || 91.6 || 78.8 || 94.3 || 56.7 || 39.7 || 24.2 || 30.2 || 29.2 || 18.1
|-
| 1.0483 || 22.2 || 69 || 173.99 || 80.62604 || 38.7 || 102 || 95 || 98.3 || 55 || 38.3 || 21.8 || 30.8 || 25.7 || 18.8
|-
| 1.0498 || 21.5 || 81 || 178.435 || 73.14177 || 37.8 || 96.4 || 95.4 || 99.3 || 53.5 || 37.5 || 21.5 || 31.4 || 26.8 || 18.3
|-
| 1.056 || 18.8 || 66 || 175.895 || 77.67769 || 37.4 || 102.7 || 98.6 || 100.2 || 56.5 || 39.3 || 22.7 || 30.3 || 28.7 || 19
|-
| 1.0283 || 31.4 || 67 || 172.085 || 74.27575 || 38.4 || 97.7 || 95.8 || 97.1 || 54.8 || 38.2 || 23.7 || 29.4 || 27.2 || 19
|-
| 1.0382 || 26.8 || 64 || 170.815 || 68.15225 || 38.1 || 97.1 || 89 || 96.9 || 54.8 || 38 || 22 || 29.9 || 25.2 || 17.7
|-
| 1.0568 || 18.4 || 64 || 184.785 || 86.29595 || 39.3 || 103.1 || 97.8 || 99.6 || 58.9 || 39 || 23 || 34.3 || 29.6 || 19
|-
| 1.0377 || 27 || 70 || 177.8 || 77.4509 || 38.7 || 101.8 || 94.9 || 95 || 56 || 36.5 || 24.1 || 31.2 || 27.3 || 19.2
|-
| 1.0378 || 27 || 72 || 175.895 || 76.20352 || 38.5 || 101.4 || 99.8 || 96.2 || 56.3 || 36.6 || 22 || 29.7 || 26.3 || 18
|-
| 1.0386 || 26.6 || 67 || 171.45 || 75.74993 || 36.5 || 98.9 || 89.7 || 96.2 || 54.7 || 37.8 || 33.7 || 32.4 || 27.7 || 18.2
|-
| 1.0648 || 14.9 || 72 || 170.815 || 71.5542 || 37.7 || 97.5 || 88.1 || 96.9 || 57.2 || 37.7 || 21.8 || 32.6 || 28 || 18.8
|-
| 1.0462 || 23.1 || 64 || 167.005 || 72.57478 || 36.5 || 104.3 || 90.9 || 93.8 || 57.8 || 39.5 || 23.3 || 29.2 || 28.4 || 18.1
|-
| 1.08 || 8.3 || 46 || 184.15 || 80.17245 || 38 || 97.3 || 86 || 99.3 || 61 || 38.4 || 23.8 || 30.2 || 29.3 || 18.8
|-
| 1.0666 || 14.1 || 48 || 185.42 || 79.83226 || 36.7 || 96.7 || 86.5 || 98.3 || 60.4 || 39.9 || 24.4 || 28.8 || 29.6 || 18.7
|-
| 1.052 || 20.5 || 46 || 177.8 || 80.28585 || 37.2 || 99.7 || 95.6 || 102.2 || 58.3 || 38.2 || 22.5 || 29.1 || 27.7 || 17.7
|-
| 1.0573 || 18.2 || 44 || 176.53 || 81.53323 || 39.2 || 101.9 || 93.2 || 100.6 || 58.9 || 39.7 || 23.1 || 31.4 || 28.4 || 18.8
|-
| 1.0795 || 8.5 || 47 || 179.07 || 74.95614 || 37.5 || 97.2 || 83.1 || 95.4 || 56.9 || 38.3 || 22.1 || 30.1 || 28.2 || 18.4
|-
| 1.0424 || 24.9 || 46 || 182.245 || 87.31653 || 38 || 106.6 || 97.5 || 100.6 || 58.9 || 40.5 || 24.5 || 33.3 || 29.6 || 19.1
|-
| 1.0785 || 9 || 47 || 189.23 || 83.57439 || 37.3 || 99.6 || 88.8 || 101.4 || 57.4 || 39.6 || 24.6 || 30.3 || 27.9 || 17.8
|-
| 1.0991 || 17.4 || 53 || 197.485 || 101.8315 || 41.1 || 113.2 || 99.2 || 107.5 || 61.7 || 42.3 || 23.2 || 32.9 || 30.8 || 20.4
|-
| 1.077 || 9.6 || 38 || 186.055 || 85.61556 || 37.5 || 99.1 || 91.6 || 102.4 || 60.6 || 39.4 || 22.9 || 31.6 || 30.1 || 18.5
|-
| 1.073 || 11.3 || 50 || 168.91 || 73.70876 || 38.7 || 99.4 || 86.7 || 96.2 || 62.1 || 39.3 || 23.3 || 30.6 || 27.8 || 18.2
|-
| 1.0582 || 17.8 || 46 || 173.355 || 70.98721 || 35.9 || 95.1 || 88.2 || 92.8 || 54.7 || 37.3 || 21.9 || 31.6 || 27.5 || 18.2
|-
| 1.0484 || 22.2 || 47 || 182.88 || 89.3577 || 40 || 107.5 || 94 || 103.7 || 62.7 || 39 || 22.3 || 35.3 || 30.9 || 18.3
|-
| 1.0506 || 21.2 || 49 || 186.69 || 90.03809 || 40.1 || 106.5 || 95 || 101.7 || 59 || 39.4 || 22.3 || 32.2 || 31 || 18.6
|-
| 1.0524 || 20.4 || 48 || 182.88 || 78.81167 || 37 || 99.1 || 92 || 98.3 || 59.3 || 38.4 || 22.4 || 27.9 || 26.2 || 17
|-
| 1.053 || 20.1 || 41 || 180.975 || 78.35808 || 36.3 || 96.7 || 89.2 || 98.3 || 60 || 38.4 || 23.2 || 31 || 29.2 || 18.4
|-
| 1.048 || 22.3 || 49 || 187.325 || 89.2443 || 40.7 || 103.5 || 95.5 || 101.6 || 59.1 || 39.8 || 25.4 || 31 || 30.3 || 19.7
|-
| 1.0412 || 25.4 || 43 || 175.895 || 80.28585 || 39.6 || 104 || 98.6 || 99.5 || 59.5 || 36.1 || 22 || 30.1 || 27.2 || 17.7
|-
| 1.0578 || 18 || 43 || 173.99 || 75.06954 || 31.1 || 93.1 || 87.3 || 96.6 || 54.7 || 39 || 24.8 || 31 || 29.4 || 18.8
|-
| 1.0547 || 19.3 || 43 || 186.69 || 90.83187 || 38.6 || 105.2 || 102.8 || 103.6 || 61.2 || 39.3 || 23.5 || 30.5 || 28.5 || 18.1
|-
| 1.0569 || 18.3 || 52 || 188.595 || 92.19265 || 42 || 110 || 101.6 || 100.7 || 55.8 || 38.7 || 23.4 || 35.1 || 29.6 || 19.1
|-
| 1.0593 || 17.3 || 43 || 191.77 || 87.99692 || 38.5 || 110.1 || 88.7 || 102.1 || 57.5 || 40 || 24.8 || 35.1 || 30.7 || 19.2
|-
| 1.05 || 21.4 || 40 || 175.895 || 76.43031 || 34.2 || 97.8 || 92.3 || 100.6 || 57.5 || 36.8 || 22.8 || 32.1 || 26 || 17.3
|-
| 1.0538 || 19.7 || 43 || 173.99 || 77.4509 || 37.2 || 96.3 || 90.6 || 99.3 || 61.9 || 38 || 22.3 || 33.3 || 28.2 || 18.1
|-
| 1.0355 || 28 || 43 || 177.8 || 83.1208 || 37.1 || 108 || 105 || 103 || 63.7 || 40 || 23.6 || 33.5 || 27.8 || 17.4
|-
| 1.0486 || 22.1 || 47 || 177.8 || 80.85284 || 40.2 || 99.7 || 95 || 98.6 || 62.3 || 38.1 || 23.9 || 35.3 || 31.1 || 19.8
|-
| 1.0503 || 21.3 || 42 || 178.435 || 73.93556 || 35.3 || 93.5 || 89.6 || 99.8 || 61.5 || 37.8 || 21.9 || 30.7 || 27.6 || 17.4
|-
| 1.0384 || 26.7 || 48 || 182.245 || 79.49206 || 38 || 100.7 || 92.4 || 97.5 || 59.3 || 38.1 || 21.8 || 31.8 || 27.3 || 17.5
|-
| 1.0607 || 16.7 || 40 || 175.895 || 71.66759 || 36.3 || 97 || 86.6 || 92.6 || 55.9 || 36.3 || 22.1 || 29.8 || 26.3 || 17.3
|-
| 1.0529 || 20.1 || 48 || 184.785 || 80.39925 || 36.8 || 96 || 90 || 99.7 || 58.8 || 38.4 || 22.8 || 29.9 || 28 || 18.1
|-
| 1.0671 || 13.9 || 51 || 182.88 || 81.19303 || 41 || 99.2 || 90 || 96.4 || 56.8 || 38.8 || 23.3 || 33.4 || 29.8 || 19.5
|-
| 1.0404 || 25.8 || 40 || 187.96 || 86.63614 || 38.3 || 95.4 || 92.4 || 104.3 || 64.6 || 41.1 || 24.8 || 33.6 || 29.5 || 18.5
|-
| 1.0575 || 18.1 || 44 || 183.515 || 85.04857 || 38 || 101.8 || 87.5 || 101 || 58.5 || 39.2 || 24.5 || 32.1 || 28.6 || 18
|-
| 1.0358 || 27.9 || 52 || 189.23 || 93.66682 || 40.8 || 104.3 || 99.2 || 104.1 || 58.5 || 39.3 || 24.6 || 33.9 || 31.2 || 19.5
|-
| 1.0414 || 25.3 || 44 || 181.61 || 84.02799 || 39.5 || 99.2 || 98.1 || 101.4 || 57.1 || 40.5 || 23.2 || 33 || 29.6 || 18.4
|-
| 1.0652 || 14.7 || 40 || 174.625 || 72.68818 || 36.9 || 99.3 || 83.3 || 97.5 || 60.5 || 38.7 || 22.6 || 34.4 || 28 || 17.6
|-
| 1.0623 || 16 || 47 || 169.545 || 68.71924 || 36.9 || 94 || 86.1 || 95.2 || 58.1 || 36.5 || 22.1 || 30.6 || 27.5 || 17.6
|-
| 1.0674 || 13.8 || 50 || 168.91 || 73.02837 || 37.7 || 98.9 || 84.1 || 94 || 58.5 || 36.6 || 23.5 || 34.4 || 29.2 || 18
|-
| 1.0587 || 17.5 || 46 || 170.18 || 75.74993 || 36.6 || 101 || 89.9 || 100 || 60.7 || 36 || 21.9 || 35.6 || 30.2 || 17.6
|-
| 1.0373 || 27.2 || 42 || 174.625 || 80.51265 || 38.9 || 98.7 || 92.1 || 98.5 || 60.7 || 36.8 || 22.2 || 33.8 || 30.3 || 17.2
|-
| 1.059 || 17.4 || 43 || 172.085 || 69.05944 || 37.5 || 95.9 || 78 || 93.2 || 53.5 || 35.8 || 20.8 || 33.9 || 28.2 || 17.4
|-
| 1.0515 || 20.8 || 40 || 186.055 || 87.20313 || 39.8 || 103.9 || 93.5 || 99.5 || 61.7 || 39 || 21.8 || 33.3 || 29.6 || 18.1
|-
| 1.0648 || 14.9 || 42 || 177.165 || 74.95614 || 38.3 || 96.2 || 87 || 97.8 || 57.4 || 36.9 || 22.2 || 31.6 || 27.8 || 17.7
|-
| 1.0575 || 18.1 || 49 || 181.61 || 77.90449 || 35.5 || 97.8 || 90.1 || 95.8 || 57 || 38.7 || 23.2 || 27.5 || 26.5 || 17.6
|-
| 1.0472 || 22.7 || 40 || 179.07 || 77.67769 || 36.3 || 94.6 || 90.3 || 99.1 || 60.3 || 38.5 || 23 || 31.2 || 28.4 || 17.1
|-
| 1.0452 || 23.6 || 47 || 186.055 || 89.3577 || 37.8 || 103.6 || 99.8 || 103.2 || 61.2 || 38.1 || 22.6 || 33.5 || 28.6 || 17.9
|-
| 1.0398 || 26.1 || 50 || 169.545 || 71.214 || 37.8 || 100.4 || 89.4 || 92.3 || 56.1 || 35.6 || 20.5 || 33.6 || 29.3 || 17.3
|-
| 1.0435 || 24.4 || 41 || 176.53 || 76.31692 || 36.5 || 98.4 || 87.2 || 98.4 || 56 || 36.9 || 23 || 34 || 29.8 || 18.1
|-
| 1.0374 || 27.1 || 44 || 177.165 || 84.36818 || 37.8 || 104.6 || 101.1 || 102.1 || 58.9 || 37.9 || 22.7 || 30.9 || 28.8 || 17.6
|-
| 1.0491 || 21.8 || 39 || 179.705 || 75.63653 || 37 || 92.9 || 86.1 || 95.6 || 58.8 || 36.1 || 22.4 || 32.7 || 28.3 || 17.1
|-
| 1.0325 || 29.4 || 43 || 187.96 || 85.16197 || 37.7 || 97.8 || 98.6 || 100.6 || 63.6 || 39.2 || 23.8 || 34.3 || 28.4 || 17.7
|-
| 1.0481 || 22.4 || 40 || 180.975 || 76.31692 || 34.3 || 98.3 || 88.5 || 98.3 || 58.1 || 38.4 || 22.5 || 31.7 || 27.4 || 17.6
|-
| 1.0522 || 20.4 || 49 || 190.5 || 96.50178 || 40.8 || 104.7 || 106.6 || 107.7 || 66.5 || 42.5 || 24.5 || 35.5 || 29.8 || 18.7
|-
| 1.0422 || 24.9 || 40 || 180.34 || 80.17245 || 37.4 || 98.6 || 93.1 || 101.6 || 59.1 || 39.6 || 21.6 || 30.8 || 27.9 || 16.6
|-
| 1.0571 || 18.3 || 40 || 176.53 || 78.58488 || 36.5 || 99.5 || 93 || 99.3 || 60.4 || 38.2 || 22 || 32 || 28.5 || 17.8
|-
| 1.0459 || 23.3 || 52 || 172.085 || 75.74993 || 37.5 || 102.7 || 91 || 98.9 || 57.1 || 36.7 || 22.3 || 31.6 || 27.5 || 17.9
|-
| 1.0775 || 9.4 || 23 || 183.515 || 72.46138 || 35.5 || 92.1 || 77.1 || 93.9 || 56.1 || 36.1 || 22.7 || 30.5 || 27.2 || 18.2
|-
| 1.0754 || 10.3 || 23 || 196.85 || 85.3434 || 38 || 96.6 || 85.3 || 102.5 || 59.1 || 37.6 || 23.2 || 31.8 || 29.7 || 18.3
|-
| 1.0664 || 14.2 || 24 || 179.705 || 70.76041 || 35.7 || 92.7 || 81.9 || 95.3 || 56.4 || 36.5 || 22 || 33.5 || 28.3 || 17.3
|-
| 1.055 || 19.2 || 24 || 184.785 || 94.57401 || 39.2 || 102 || 99.1 || 110.1 || 71.2 || 43.5 || 25.2 || 36.1 || 30.3 || 18.7
|-
| 1.0322 || 29.6 || 25 || 177.165 || 93.66682 || 40.9 || 110.9 || 100.5 || 106.2 || 68.4 || 40.8 || 24.6 || 33.3 || 29.7 || 18.4
|-
| 1.0873 || 5.3 || 25 || 184.15 || 65.2039 || 35.2 || 92.3 || 76.5 || 92.1 || 51.9 || 35.7 || 22 || 25.8 || 25.2 || 16.9
|-
| 1.0416 || 25.2 || 26 || 178.435 || 101.1511 || 40.6 || 114.1 || 106.8 || 113.9 || 67.6 || 42.7 || 24.7 || 36 || 30.4 || 18.4
|-
| 1.0776 || 9.4 || 26 || 175.26 || 69.05944 || 35.4 || 92.9 || 77.6 || 93.5 || 56.9 || 35.9 || 20.4 || 31.6 || 29 || 17.8
|-
| 1.0542 || 19.6 || 26 || 189.23 || 109.656 || 41.8 || 108.3 || 102.9 || 114.4 || 72.9 || 43.5 || 25.1 || 38.5 || 33.8 || 19.6
|-
| 1.0758 || 10.1 || 27 || 183.515 || 66.22449 || 34.1 || 88.5 || 72.8 || 91.1 || 53.6 || 36.8 || 23.8 || 27.8 || 26.3 || 17.4
|-
| 1.061 || 16.5 || 27 || 170.815 || 71.1006 || 37.9 || 94 || 88.2 || 95.2 || 56.8 || 37.4 || 22.8 || 30.6 || 28.3 || 17.9
|-
| 1.051 || 21 || 27 || 186.69 || 90.83187 || 38.2 || 101.1 || 100.1 || 105 || 62.1 || 40 || 24.9 || 33.7 || 29.2 || 19.4
|-
| 1.0594 || 17.3 || 28 || 191.135 || 77.79109 || 35.6 || 92.1 || 83.5 || 98.3 || 57.3 || 37.8 || 21.7 || 32.2 || 27.7 || 17.7
|-
| 1.0287 || 31.2 || 28 || 175.26 || 93.32663 || 38.5 || 105.6 || 105 || 106.4 || 68.6 || 40 || 25.2 || 35.2 || 30.7 || 19.1
|-
| 1.0761 || 10 || 28 || 183.515 || 82.78061 || 37 || 98.5 || 90.8 || 102.5 || 60.8 || 38.5 || 25 || 31.6 || 28 || 18.6
|-
| 1.0704 || 12.5 || 30 || 174.625 || 61.91536 || 35.9 || 88.7 || 76.6 || 89.8 || 50.1 || 34.8 || 21.8 || 27 || 34.9 || 16.9
|-
| 1.0477 || 22.5 || 31 || 181.61 || 80.39925 || 36.2 || 101.1 || 92.4 || 99.3 || 59.4 || 39 || 24.6 || 30.1 || 28.2 || 18.2
|-
| 1.0775 || 9.4 || 31 || 183.515 || 68.60585 || 35 || 94 || 81.2 || 91.5 || 52.5 || 36.6 || 21 || 27 || 26.3 || 16.5
|-
| 1.0653 || 14.6 || 33 || 185.42 || 88.9041 || 38.5 || 103.8 || 95.6 || 105.1 || 61.4 || 40.6 || 25 || 31.3 || 29.2 || 19.1
|-
| 1.069 || 13 || 33 || 174.625 || 83.57439 || 40.7 || 98.9 || 92.1 || 103.5 || 64 || 37.3 || 23.5 || 33.5 || 30.6 || 19.7
|-
| 1.0644 || 15.1 || 34 || 179.07 || 63.50293 || 36 || 89.2 || 83.4 || 89.6 || 52.4 || 35.6 || 20.4 || 28.3 || 26.2 || 16.5
|-
| 1.037 || 27.3 || 34 || 182.88 || 99.22333 || 39.5 || 111.4 || 106 || 108.8 || 63.8 || 42 || 23.4 || 34 || 31.2 || 18.5
|-
| 1.0549 || 19.2 || 35 || 187.325 || 98.42954 || 40.5 || 107.5 || 95.1 || 104.5 || 64.8 || 41.3 || 25.6 || 36.4 || 33.7 || 19.4
|-
| 1.0492 || 21.8 || 35 || 172.72 || 75.40973 || 38.5 || 99.1 || 90.4 || 95.6 || 55.5 || 34.2 || 21.9 || 30.2 || 28.7 || 17.7
|-
| 1.0525 || 20.3 || 35 || 183.515 || 101.9449 || 43.9 || 108.2 || 100.4 || 106.8 || 63.3 || 41.7 || 24.6 || 37.2 || 33.1 || 19.8
|-
| 1.018 || 34.3 || 35 || 176.53 || 103.5325 || 40.4 || 114.9 || 115.9 || 111.9 || 74.4 || 40.6 || 24 || 36.1 || 31.8 || 18.8
|-
| 1.061 || 16.5 || 35 || 176.53 || 78.35808 || 37.6 || 99.1 || 90.8 || 98.1 || 60.1 || 39.1 || 23.4 || 32.5 || 29.8 || 17.4
|-
| 1.0926 || 3 || 35 || 172.085 || 69.05944 || 37 || 92.2 || 81.9 || 92.8 || 54.7 || 36.2 || 22.1 || 30.4 || 27.4 || 17.7
|-
| 1.0983 || 0.7 || 35 || 166.37 || 57.03924 || 34 || 90.8 || 75 || 89.2 || 50 || 34.8 || 22 || 24.8 || 25.9 || 16.9
|-
| 1.0521 || 20.5 || 35 || 180.34 || 80.39925 || 38.4 || 100.5 || 90.3 || 98.7 || 57.8 || 37.3 || 22.4 || 31 || 28.7 || 17.7
|-
| 1.0603 || 16.9 || 36 || 181.61 || 79.94566 || 38.7 || 98.2 || 90.3 || 99.9 || 59.2 || 37.7 || 21.5 || 32.4 || 28.4 || 17.8
|-
| 1.0414 || 25.3 || 36 || 182.245 || 102.8521 || 41.5 || 115.3 || 108.8 || 114.4 || 69.2 || 42.4 || 24 || 35.4 || 21 || 20.1
|-
| 1.0763 || 9.9 || 37 || 175.895 || 65.88429 || 36 || 96.8 || 79.4 || 89.2 || 50.3 || 34.8 || 22.2 || 31 || 26.9 || 16.9
|-
| 1.0689 || 13.1 || 37 || 170.18 || 68.49245 || 35.3 || 92.6 || 83.2 || 96.4 || 60 || 38.1 || 22 || 31.5 || 26.6 || 16.7
|-
| 1.0316 || 29.9 || 37 || 181.61 || 109.4292 || 42.1 || 119.2 || 110.3 || 113.9 || 69.8 || 42.6 || 24.8 || 34.4 || 29.5 || 18.4
|-
| 1.0477 || 22.5 || 38 || 175.895 || 84.93517 || 38 || 102.7 || 92.7 || 101.9 || 64.7 || 39.5 || 24.7 || 34.8 || 30.3 || 18.1
|-
| 1.0603 || 16.9 || 39 || 189.23 || 106.4808 || 42.8 || 109.5 || 104.5 || 109.9 || 69.5 || 43.1 || 25.8 || 39.1 || 32.5 || 19.9
|-
| 1.0387 || 26.6 || 39 || 188.595 || 99.45013 || 40 || 108.5 || 104.6 || 109.8 || 68.1 || 42.8 || 24.1 || 35.6 || 29 || 19
|-
| 1.1089 || 0 || 40 || 172.72 || 53.7507 || 33.8 || 79.3 || 69.4 || 85 || 47.2 || 33.5 || 20.2 || 27.7 || 24.6 || 16.5
|-
| 1.0725 || 11.5 || 40 || 170.815 || 66.11109 || 35.5 || 95.5 || 83.6 || 91.6 || 54.1 || 36.2 || 21.8 || 31.4 || 28.3 || 17.2
|-
| 1.0713 || 12.1 || 40 || 177.165 || 72.23458 || 35.3 || 92.3 || 86.8 || 96.1 || 58 || 39.4 || 22.7 || 30 || 26.4 || 17.4
|-
| 1.0587 || 17.5 || 40 || 188.595 || 77.3375 || 37.7 || 98.9 || 90.4 || 95.5 || 55.4 || 38.9 || 22.4 || 30.5 || 28.9 || 17.7
|-
| 1.0794 || 8.6 || 40 || 181.61 || 75.97672 || 39.4 || 89.5 || 83.7 || 98.1 || 57.3 || 39.7 || 22.6 || 32.9 || 29.3 || 18.2
|-
| 1.0453 || 23.6 || 41 || 188.595 || 105.5736 || 41.9 || 117.5 || 109.3 || 108.8 || 67.7 || 41.3 || 24.7 || 37.2 || 31.8 || 20
|-
| 1.0524 || 20.4 || 41 || 182.88 || 95.48119 || 38.5 || 107.4 || 98.9 || 104.1 || 63.5 || 39.8 || 23.5 || 36.4 || 30.4 || 19.1
|-
| 1.052 || 20.5 || 41 || 184.15 || 91.73906 || 40.8 || 109.2 || 98 || 101.8 || 62.8 || 41.3 || 24.8 || 36.6 || 32.4 || 18.8
|-
| 1.0434 || 24.4 || 41 || 173.355 || 83.91459 || 38 || 103.4 || 101.2 || 103.1 || 61.5 || 40.4 || 22.9 || 33.4 || 29.2 || 18.5
|-
| 1.0728 || 11.4 || 41 || 175.895 || 69.39963 || 36.4 || 91.4 || 80.6 || 92.3 || 54.3 || 36.3 || 21.8 || 29.6 || 27.3 || 17.9
|-
| 1.014 || 38.1 || 42 || 193.04 || 110.7899 || 41.8 || 115.2 || 113.7 || 112.4 || 68.5 || 45 || 25.5 || 37.1 || 31.2 || 19.9
|-
| 1.0624 || 15.9 || 42 || 179.07 || 87.77012 || 40.7 || 104.9 || 94.1 || 102.7 || 60.6 || 38.6 || 24.7 || 34 || 30.1 || 18.7
|-
| 1.0429 || 24.7 || 42 || 189.865 || 101.9449 || 38.5 || 106.7 || 105.7 || 111.8 || 65.3 || 43.3 || 26 || 33.7 || 29.9 || 18.5
|-
| 1.047 || 22.8 || 42 || 184.785 || 73.82216 || 35.4 || 92.2 || 85.6 || 96.5 || 60.2 || 38.9 || 22.4 || 31.7 || 27.1 || 17.1
|-
| 1.0411 || 25.5 || 42 || 173.355 || 81.64663 || 38.5 || 101.6 || 96.6 || 100.6 || 61.1 || 38.4 || 24.1 || 32.9 || 29.8 || 18.8
|-
| 1.0488 || 22 || 42 || 175.26 || 70.87381 || 35.5 || 97.8 || 86 || 96.2 || 57.7 || 38.6 || 24 || 31.2 || 27.3 || 17.4
|-
| 1.0583 || 17.7 || 42 || 181.61 || 76.20352 || 36.5 || 92 || 89.7 || 101 || 62.3 || 38 || 22.3 || 30.8 || 27.8 || 16.9
|-
| 1.0841 || 6.6 || 42 || 184.785 || 75.86332 || 37.6 || 94 || 78 || 99 || 57.5 || 40 || 22.5 || 30.6 || 30 || 18.5
|-
| 1.0462 || 23.6 || 43 || 171.45 || 77.4509 || 37.4 || 103.7 || 89.7 || 94.2 || 58.5 || 39 || 24.1 || 33.8 || 28.8 || 18.8
|-
| 1.0709 || 12.2 || 43 || 178.435 || 80.85284 || 37.8 || 102.7 || 89.2 || 99.2 || 60.2 || 39.2 || 23.8 || 31.7 || 28.4 || 18.6
|-
| 1.0484 || 22.1 || 43 || 175.895 || 68.03886 || 35.2 || 91.1 || 85.7 || 96.9 || 55.5 || 35.7 || 22 || 29.4 || 26.6 || 17.4
|-
| 1.034 || 28.7 || 43 || 181.61 || 90.94527 || 37.9 || 107.2 || 103.1 || 105.5 || 68.8 || 38.3 || 23.7 || 32.1 || 28.9 || 18.7
|-
| 1.0854 || 6 || 44 || 187.96 || 83.461 || 37.9 || 100.8 || 89.1 || 102.6 || 60.6 || 39 || 24 || 32.9 || 29.2 || 18.4
|-
| 1.0209 || 34.8 || 44 || 177.165 || 101.1511 || 40.9 || 121.6 || 113.9 || 107.1 || 63.5 || 40.3 || 21.8 || 34.8 || 30.7 || 17.4
|-
| 1.061 || 16.6 || 44 || 185.42 || 94.68741 || 41.9 || 105.6 || 96.3 || 102 || 63.3 || 39.8 || 24.1 || 37.3 || 23.1 || 19.4
|-
| 1.025 || 32.9 || 44 || 166.37 || 75.29633 || 39.1 || 100.6 || 93.9 || 100.1 || 58.9 || 37.6 || 21.4 || 33.1 || 29.5 || 17.3
|-
| 1.0254 || 32.8 || 47 || 184.15 || 88.45051 || 40.2 || 102.7 || 101.3 || 101.7 || 60.7 || 39.4 || 23.3 || 36.7 || 31.6 || 18.4
|-
| 1.0771 || 9.6 || 47 || 178.435 || 72.80158 || 36 || 99.8 || 83.9 || 91.8 || 53 || 36.2 || 22.5 || 31.4 || 27.5 || 17.7
|-
| 1.0742 || 10.8 || 47 || 179.705 || 72.46138 || 34.5 || 92.9 || 84.4 || 94 || 56 || 38.2 || 22.6 || 29 || 26.2 || 17.6
|-
| 1.0829 || 7.1 || 49 || 172.72 || 63.72973 || 35.8 || 91.2 || 79.4 || 89 || 51.1 || 35 || 21.7 || 30.9 || 28.8 || 17.4
|-
| 1.0373 || 27.2 || 49 || 189.23 || 98.08935 || 40.2 || 115.6 || 104 || 109 || 63.7 || 40.3 || 23.2 || 36.8 || 31 || 18.9
|-
| 1.0543 || 19.5 || 49 || 182.245 || 76.31692 || 38.3 || 98.3 || 89.7 || 99.1 || 56.3 || 38.8 || 23 || 29.5 || 27.9 || 18.6
|-
| 1.0561 || 18.7 || 50 || 179.705 || 88.33711 || 39 || 103.7 || 97.6 || 104.2 || 60 || 40.9 || 25.5 || 32.7 || 30 || 19
|-
| 1.0543 || 19.5 || 50 || 185.42 || 78.35808 || 37.4 || 98.7 || 87.6 || 96.1 || 57.1 || 38.1 || 21.8 || 28.6 || 26.7 || 18
|-
| 0.995 || 47.5 || 51 || 162.56 || 99.33673 || 41.2 || 119.8 || 122.1 || 112.8 || 62.5 || 36.9 || 23.6 || 34.7 || 29.1 || 18.4
|-
| 1.0678 || 13.6 || 51 || 177.165 || 67.69866 || 34.8 || 92.8 || 81.1 || 96.3 || 53.8 || 36.5 || 21.5 || 31.3 || 26.3 || 17.8
|-
| 1.0819 || 7.5 || 51 || 177.8 || 70.08002 || 36.9 || 93.3 || 81.5 || 94.4 || 54.7 || 39 || 22.6 || 27.5 || 25.9 || 18.6
|-
| 1.0433 || 24.5 || 52 || 182.245 || 90.37828 || 39.4 || 106.8 || 100 || 105 || 63.9 || 39.2 || 22.9 || 35.7 || 30.4 || 19.2
|-
| 1.0646 || 15 || 53 || 175.895 || 70.08002 || 37.6 || 93.9 || 88.7 || 94.5 || 53.7 || 36.2 || 22 || 28.5 || 25.7 || 17.1
|-
| 1.0706 || 12.4 || 54 || 179.07 || 69.51303 || 38.5 || 99 || 91.8 || 96.2 || 57.7 || 38.1 || 23.9 || 31.4 || 29.9 || 18.9
|-
| 1.0399 || 26 || 54 || 183.515 || 104.3262 || 42.5 || 119.9 || 110.4 || 105.5 || 64.2 || 42.7 || 27 || 38.4 || 32 || 19.6
|-
| 1.0726 || 11.5 || 54 || 171.45 || 73.36857 || 37.4 || 94.2 || 87.6 || 95.6 || 59.7 || 40.2 || 23.4 || 27.9 || 27 || 17.8
|-
| 1.0874 || 5.2 || 55 || 170.815 || 64.52351 || 35.2 || 92.7 || 82.8 || 91.9 || 54.4 || 35.2 || 22.5 || 29.4 || 26.8 || 17
|-
| 1.074 || 10.9 || 55 || 174.625 || 81.53323 || 41.1 || 106.9 || 95.3 || 98.2 || 57.4 || 37.1 || 21.8 || 34.1 || 31.1 || 19.2
|-
| 1.0703 || 12.5 || 55 || 169.545 || 57.37943 || 33.4 || 88.8 || 78.2 || 87.5 || 50.8 || 33 || 19.7 || 25.3 || 22 || 15.8
|-
| 1.065 || 14.8 || 55 || 173.355 || 76.88391 || 37.2 || 101.7 || 91.1 || 97.1 || 56.6 || 38.5 || 22.6 || 33.4 || 29.3 || 18.8
|-
| 1.0418 || 25.2 || 55 || 188.595 || 90.03809 || 38.3 || 105.3 || 96.7 || 106.6 || 64 || 42.6 || 23.4 || 33.2 || 30 || 18.4
|-
| 1.0647 || 14.9 || 56 || 176.53 || 79.15187 || 38.1 || 104 || 89.4 || 98.4 || 58.4 || 37.4 || 22.5 || 34.6 || 30.1 || 18.8
|-
| 1.0601 || 17 || 56 || 173.99 || 76.09012 || 37.4 || 98.6 || 93 || 97 || 55.4 || 38.8 || 23.2 || 32.4 || 29.7 || 19
|-
| 1.0745 || 10.6 || 57 || 167.005 || 67.01827 || 35.2 || 99.6 || 86.4 || 90.1 || 53 || 35 || 21.3 || 31.7 || 27.3 || 16.9
|-
| 1.062 || 16.1 || 57 || 182.245 || 82.66721 || 39.4 || 103.4 || 96.7 || 100.7 || 59.3 || 38.6 || 22.8 || 31.8 || 29.1 || 19
|-
| 1.0636 || 15.4 || 58 || 181.61 || 79.60546 || 38 || 100.2 || 88.1 || 97.8 || 57.1 || 38.9 || 23.6 || 30.9 || 29.6 || 18
|-
| 1.0384 || 26.7 || 58 || 170.815 || 73.36857 || 35.1 || 94.9 || 94.9 || 100.2 || 56.8 || 35.9 || 21 || 27.8 || 26.1 || 17.6
|-
| 1.0403 || 25.8 || 60 || 171.45 || 71.5542 || 40.4 || 97.2 || 93.3 || 94 || 54.3 || 35.7 || 21 || 31.3 || 28.7 || 18.3
|-
| 1.0563 || 18.6 || 62 || 171.45 || 76.54371 || 38.3 || 104.7 || 95.6 || 93.7 || 54.4 || 37.1 || 22.7 || 30.3 || 26.3 || 18.3
|-
| 1.0424 || 24.8 || 62 || 183.515 || 86.86294 || 40.6 || 104 || 98.2 || 101.1 || 59.3 || 40.3 || 23 || 32.6 || 28.5 || 19
|-
| 1.0372 || 27.3 || 63 || 176.53 || 99.40477 || 40.2 || 117.6 || 113.8 || 111.8 || 63.4 || 41.1 || 22.3 || 35.1 || 29.6 || 18.5
|-
| 1.0705 || 12.4 || 64 || 176.53 || 70.42022 || 37.9 || 95.8 || 82.8 || 94.5 || 61.2 || 39.1 || 22.3 || 29.8 || 28.9 || 18.3
|-
| 1.0316 || 29.9 || 65 || 167.005 || 86.06915 || 40.8 || 106.4 || 100.5 || 100.5 || 59.2 || 38.1 || 24 || 35.9 || 30.5 || 19.1
|-
| 1.0599 || 17 || 65 || 167.005 || 57.83303 || 34.7 || 93 || 79.7 || 87.6 || 50.7 || 33.4 || 20.1 || 28.5 || 24.8 || 16.5
|-
| 1.0207 || 35 || 65 || 173.355 || 101.8315 || 38.8 || 119.6 || 118 || 114.3 || 61.3 || 42.1 || 23.4 || 34.9 || 30.1 || 19.4
|-
| 1.0304 || 30.4 || 66 || 182.88 || 106.254 || 41.4 || 119.7 || 109 || 109.1 || 63.7 || 42.4 || 24.6 || 35.6 || 30.7 || 19.5
|-
| 1.0256 || 32.6 || 67 || 184.785 || 103.3057 || 41.3 || 115.8 || 113.4 || 109.8 || 65.6 || 46 || 25.4 || 35.3 || 29.8 || 19.5
|-
| 1.0334 || 29 || 67 || 173.99 || 90.49168 || 40.7 || 118.3 || 106.1 || 101.6 || 58.2 || 38.8 || 24.1 || 32.1 || 29.3 || 18.5
|-
| 1.0641 || 15.2 || 68 || 175.895 || 70.53361 || 36.3 || 97.4 || 84.3 || 94.4 || 54.3 || 37.5 || 22.6 || 29.2 || 27.3 || 18.5
|-
| 1.0308 || 30.2 || 69 || 179.07 || 97.74916 || 40.8 || 113.7 || 107.6 || 110 || 63.3 || 44 || 22.6 || 37.5 || 32.6 || 18.8
|-
| 1.0736 || 11 || 70 || 170.18 || 60.89478 || 34.9 || 89.2 || 83.6 || 88.8 || 49.6 || 34.8 || 21.5 || 25.6 || 25.7 || 18.5
|-
| 1.0236 || 33.6 || 72 || 177.165 || 91.17207 || 40.9 || 108.5 || 105 || 104.5 || 59.6 || 40.8 || 23.2 || 35.2 || 28.6 || 20.1
|-
| 1.0328 || 29.3 || 72 || 167.64 || 84.70838 || 38.9 || 111.1 || 111.5 || 101.7 || 60.3 || 37.3 || 21.5 || 31.3 || 27.2 || 18
|-
| 1.0399 || 26 || 72 || 179.07 || 86.52274 || 38.9 || 108.3 || 101.3 || 97.8 || 56 || 41.6 || 22.7 || 30.5 || 29.4 || 19.8
|-
| 1.0271 || 31.9 || 74 || 177.8 || 94.12042 || 40.8 || 112.4 || 108.5 || 107.1 || 59.3 || 42.2 || 24.6 || 33.7 || 30 || 20.9
|}
</center>

==References==
*Bailey, Covert (1994). ''Smart Exercise: Burning Fat, Getting Fit'', Houghton-Mifflin Co., Boston, pp. 179-186.
* Behnke, A.R. and Wilmore, J.H. (1974). ''Evaluation and Regulation of Body Build and Composition'', Prentice-Hall, Englewood Cliffs, N.J.
* Siri, W.E. (1956), ''Gross composition of the body'', in Advances in Biological and Medical Physics, vol. IV, edited by J.H. Lawrence and C.A. Tobias, Academic Press, Inc., New York.
* Katch, Frank and McArdle, William (1977). ''Nutrition, Weight Control, and Exercise'', Houghton Mifflin Co., Boston.
* Wilmore, Jack (1976). ''Athletic Training and Physical Fitness: Physiological Principles of the Conditioning Process'', Allyn and Bacon, Inc., Boston.
* [http://www.fao.org/WAIRDOCS/WHO/AC911E/AC911E00.HTM The Diet, Nutrition and the Prevention of Chronic Diseases Report (2003) of the Food and Agriculture Organization of the United Nations]

<hr>
* SOCR Home page: http://www.SOCR.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Data_BMI_Regression}}

SOCR Data Oct2009 ID NI

2013-05-30T18:51:18Z

IvoDinov: /* Data Description */

== [[SOCR_Data | SOCR Datasets]] - Normal and Schizophrenia Neuroimaging study of Children ==

===Data Overview===
[[Image:SOCR_Data_Dinov_July2009_NI.png|150px|thumbnail|right| Children Neuroimaging Data]]
This is a [[SOCR_Data_Oct2009_ID_NI#References |neuroimaging study of childhood-onset schizophrenia]]. It uses automated volumetric data processing to obtain different volume measures of local anatomy for schizophrenia patients and age-matched normal controls. The goals of the study were to identify associations and relationships between neuroimaging biomarkers and various subject demographics and traits.

[http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and [http://www.socr.ucla.edu/SOCR_MotionCharts/ SOCR MotionCharts] may be used to render dynamic visualizations of these data. [[SOCR_EduMaterials_ChartsActivities | SOCR Charts help is available here]]. [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses] (e.g., Multivariate Regression Analysis, ANOVA, etc.) may be used to fit models and quantitative assessment of relations between different variables. [[SOCR_EduMaterials_AnalysesActivities | SOCR Analyses help is available here]].

===Data Description===
* Subject: Subject identifier
* Age: Subject Age
* DX: Subject diagnosis (Normals=1; Schizophrenia=2)
* Sex: Subject gender (Male=1; female=2)
* FS_IQ: Subject Intelligence Quotient (IQ)
* TBV: Total Brain Volume (\(mm^3\))
* GMV: Total Gray Matter Volume (\(mm^3\))
* WMV: Total White Matter Volume (\(mm^3\))
* CSF: Total Cerebrospinal Fluid (\(mm^3\))
* Background: Background volume (\(mm^3\))
* L_superior_frontal_gyrus, R_superior_frontal_gyrus, ..., brainstem: 56 regional cortical and subcortical volumes (region anatomical names are encoded in the column heading).

===Data===
{| class="wikitable" style="text-align:center;" border="2"
|-
! Subject||Age||DX||Sex||FS_IQ||TBV||GMV||WMV||CSF||Background||L_superior_frontal_gyrus||R_superior_frontal_gyrus||L_middle_frontal_gyrus||R_middle_frontal_gyrus||L_inferior_frontal_gyrus||R_inferior_frontal_gyrus||L_precentral_gyrus||R_precentral_gyrus||L_middle_orbitofrontal_gyrus||R_middle_orbitofrontal_gyrus||L_lateral_orbitofrontal_gyrus||R_lateral_orbitofrontal_gyrus||L_gyrus_rectus||R_gyrus_rectus||L_postcentral_gyrus||R_postcentral_gyrus||L_superior_parietal_gyrus||R_superior_parietal_gyrus||L_supramarginal_gyrus||R_supramarginal_gyrus||L_angular_gyrus||R_angular_gyrus||L_precuneus||R_precuneus||L_superior_occipital_gyrus||R_superior_occipital_gyrus||L_middle_occipital_gyrus||R_middle_occipital_gyrus||L_inferior_occipital_gyrus||R_inferior_occipital_gyrus||L_cuneus||R_cuneus||L_superior_temporal_gyrus||R_superior_temporal_gyrus||L_middle_temporal_gyrus||R_middle_temporal_gyrus||L_inferior_temporal_gyrus||R_inferior_temporal_gyrus||L_parahippocampal_gyrus||R_parahippocampal_gyrus||L_lingual_gyrus||R_lingual_gyrus||L_fusiform_gyrus||R_fusiform_gyrus||L_insular_cortex||R_insular_cortex||L_cingulate_gyrus||R_cingulate_gyrus||L_caudate||R_caudate||L_putamen||R_putamen||L_hippocampus||R_hippocampus||cerebellum||brainstem
|-
|27||14||1||1||118||1663407||654981||840874||167553||8362251||67276||66079||63661||67684||29368||25693||30471||34528||8294||9723||6816||4960||2180||2459||23126||20692||22016||24604||15130||15955||17463||20257||14977||14054||6550||6878||19487||21535||8896||12041||5631||7386||31923||30222||30234||30419||23116||27490||6772||6461||15609||18191||17755||14817||10054||9670||16570||16524||1567||2391||4556||2474||5134||4742||168778||31055
|-
|106||15||1||1||116||1583940||527918||851560||204463||8586107||19866||17346||11056||7676||6050||5125||1352||1837||747||534||608||41||329||299||167||408||3851||3090||1492||1577||477||2430||1724||1596||25||55||1151||1715||588||1244||191||372||4118||9923||2175||2294||715||514||946||704||1863||2035||856||1634||4524||1210||2085||2596||142||396||5827||1042||860||535||103469||15778
|-
|139||14||1||2||107||1299470||550035||614598||134837||8627510||15450||14219||8647||6463||6370||4773||1308||1504||528||401||594||34||277||286||164||288||2771||3415||1177||1116||312||1804||1120||1161||30||52||931||1403||469||1001||173||319||3153||8239||1758||1864||528||403||724||633||1379||1801||773||1268||3884||1034||1503||1969||143||290||4789||938||665||457||89234||13864
|-
|143||15||1||1||107||1535137||599372||780127||155638||8607550||15483||13942||11253||9433||6636||4764||1280||1681||778||586||750||45||227||295||184||271||2531||3481||1270||1402||370||1938||827||706||34||56||1125||1701||537||1178||218||341||3534||9404||2307||2060||654||552||957||706||1612||2024||841||1277||4080||1141||1736||2009||148||353||4547||907||892||551||93754||18444
|-
|172||15||1||2||107||1431890||593306||695296||143288||8617899||18538||17094||10254||7201||6980||5692||1095||1607||804||437||759||32||335||320||159||304||3089||3273||1017||1559||355||2154||1103||1251||26||73||1062||1572||525||1120||234||358||3803||9395||2269||2146||735||515||842||720||1721||1902||790||1167||4317||1134||1602||2063||159||311||5003||906||754||530||79980||16316
|-
|184||15||1||1||100||1578698||822056||546395||210247||8593510||16515||15956||8550||5537||6531||4788||1202||1111||754||538||721||41||311||479||232||300||2928||3967||1227||2087||435||2724||1200||1327||34||77||1152||1831||602||1272||261||361||3045||9372||1839||1500||601||420||815||744||1476||2244||835||1541||5076||1424||1813||2244||139||343||6233||935||817||564||109382||15397
|-
|185||14||1||1||94||1453510||534556||730155||188800||8624978||17285||15062||8461||6283||4791||3742||1199||1584||784||508||562||25||247||265||156||284||2469||2377||902||1111||332||1622||1071||1077||25||72||982||1483||488||1079||231||328||3730||8868||1910||1824||598||436||801||681||1456||1626||956||1547||4082||1189||1835||2446||198||313||4769||802||752||551||90110||14017
|-
|198||10||1||1||114||1650348||608916||860876||180555||8631722||18709||20009||8386||7556||9224||5770||1260||1592||796||440||889||51||297||357||207||285||3643||3448||1562||1370||444||2117||1337||1297||38||63||1153||1794||575||1191||220||396||3554||9583||2228||2107||579||505||712||710||1307||1446||628||1000||5077||1444||1692||2551||142||333||5512||1011||840||661||63340||12202
|-
|199||15||1||2||107||1288971||479707||668576||140688||8629619||18248||15918||8063||5728||6346||4339||1215||1123||663||428||654||44||321||334||191||266||2846||3247||1083||1482||321||2119||1162||1097||26||59||951||1429||474||1013||160||339||3432||8230||2100||1810||665||461||776||618||1423||1797||763||1102||4143||1096||1645||2215||145||273||5018||882||848||464||83317||12830
|-
|402||19||1||1||95||1366346||699476||479998||186872||8624830||16847||15280||9105||4614||5690||3872||1280||1524||558||352||571||29||270||339||188||278||2962||2521||941||1451||341||2243||1159||1052||30||70||953||1488||499||1038||227||305||3674||9363||1885||1752||575||380||842||692||1435||1573||730||1467||4201||948||1657||2460||155||400||5093||743||749||489||88166||15030
|-
|403||18||1||2||109||1326402||438889||725969||161544||8641084||15104||13257||7879||5046||5675||4523||1180||1506||534||371||586||23||246||374||169||280||2849||2553||893||1382||310||2026||920||997||29||70||965||1419||469||1027||154||363||3107||8466||1903||1615||565||412||772||614||1608||1806||692||1091||3737||906||1606||2279||153||385||4718||866||632||462||79662||15043
|-
|406||18||1||1||125||1503005||711924||595506||195575||8615606||20078||16916||8348||6671||6448||4804||1007||1138||637||456||584||34||318||544||135||197||3325||3690||968||1092||442||1996||1511||1489||40||52||1071||1619||522||1146||205||391||4010||8512||2033||1702||671||481||771||631||1585||1907||650||970||4950||1200||1767||2455||139||361||5676||1055||759||559||83733||17302
|-
|410||16||1||1||108||1474790||774131||520734||179924||8689876||8627||6539||6633||8386||11221||2813||4685||3939||1297||2549||2515||1220||519||340||4871||2393||2830||1827||1135||1713||1332||2352||1291||1807||431||396||2438||2871||1368||1307||730||277||1428||4208||1371||3161||1971||2244||1796||849||2600||1456||3639||2056||1021||966||1647||769||115||61||280||84||294||712||21732||10373
|-
|415||18||1||2||115||1317156||679761||489468||147927||8656938||15478||14363||7604||6193||5617||4219||1150||1535||628||388||528||31||325||288||134||273||2591||3226||884||1051||295||1612||1043||1227||26||66||910||1387||466||1019||192||296||3413||8391||1880||1900||595||397||766||592||1482||1697||716||1330||3889||1109||1591||2062||142||242||4428||851||765||525||64064||12555
|-
|418||17||1||2||107||1441045||718755||532976||189314||8613352||17330||15135||9177||5869||5574||4439||1342||1761||606||399||621||39||295||340||228||296||3468||3039||1164||1085||323||2241||1343||1334||26||77||1025||1588||522||1114||228||351||4143||9217||2474||2121||708||545||751||736||1514||1633||725||1314||3728||958||1762||2346||183||398||5078||852||738||542||92635||16528
|-
|419||18||1||2||125||1463498||689875||576051||197571||8646868||20052||15972||7441||5532||7341||5017||1236||1101||672||404||636||29||357||434||171||191||3006||3232||971||1002||378||1787||983||1013||32||74||1024||1612||492||1158||223||316||3772||7580||2231||1904||658||470||534||729||1167||1537||582||1051||4917||1134||2125||2410||178||352||6018||1020||639||641||64376||10585
|-
|421||16||1||1||127||1650207||834956||635818||179433||8575716||21232||18430||6856||6471||6114||5624||1321||890||834||495||691||38||470||563||195||193||3822||3975||1391||1582||620||2177||2443||2192||41||62||1238||1839||648||1285||239||392||4789||9618||2064||2221||663||470||947||688||1902||1939||972||1633||4854||1321||2254||2209||176||330||5649||1088||806||546||115486||14658
|-
|426||16||1||1||116||1523045||744793||607825||170427||8583342||20472||18013||9033||5914||7361||5491||1090||1386||726||352||785||30||330||381||186||226||3452||3518||1010||1056||489||1774||1771||1832||31||60||1109||1726||562||1211||214||370||3668||8951||2140||2389||739||573||862||731||1627||2143||777||1291||5088||1296||1820||2586||220||329||5685||949||724||465||109129||17878
|-
|427||15||1||2||104||1441636||755991||499994||185651||8614891||17903||16596||9626||7835||5588||4797||1370||2102||689||426||599||35||267||339||185||359||2860||2699||890||1412||346||1994||982||1005||36||72||1025||1564||504||1091||207||330||3606||9503||2024||2023||642||444||733||625||1458||1625||873||1335||4119||1044||1528||2090||152||342||5204||835||713||473||89714||15633
|-
|428||16||1||1||133||1432033||735130||506333||190569||8610954||15985||14383||8253||5871||7177||5686||1214||1483||720||450||822||57||286||319||193||271||3269||3607||1102||1430||299||1884||1184||1236||31||55||998||1564||527||1091||178||328||3304||9263||2222||2039||693||457||867||702||1635||1794||769||1410||4791||1208||1657||2140||215||372||5491||888||693||589||94529||16727
|-
|725||15||1||2||109||1420416||699547||551242||169628||8620336||17270||16178||8640||5189||6835||4780||1037||1562||551||417||571||37||247||344||173||306||3332||3976||1011||1231||464||2128||1149||1165||27||62||1002||1586||498||1088||208||342||3301||9094||2234||2252||789||511||713||638||1517||1777||883||1362||4081||1149||1633||2345||147||324||4877||930||697||425||87995||13949
|-
|744||11||1||2||122||1480171||798755||492263||189153||8615243||18033||18035||8631||7109||6689||4770||1230||1589||697||454||760||41||252||373||186||269||3187||2681||1025||1172||411||2022||923||929||26||45||1077||1622||539||1205||230||396||4163||9830||2174||2315||547||479||859||730||1444||2017||963||1293||4111||1233||1745||2799||158||318||4948||984||925||554||86606||14317
|-
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|}

=== References===
* Katherine L. Narr , Robert M. Bilder , Arthur W. Toga , Roger P. Woods , David E. Rex , Philip R. Szeszko , Delbert Robinson , Serge Sevy , Handan Gunduz-Bruce , Yung-Ping Wang , Heather DeLuca , and Paul M. Thompson. (2005) [http://cercor.oxfordjournals.org/cgi/content/abstract/15/6/708 Mapping Cortical Thickness and Gray Matter Concentration in First Episode Schizophrenia]. Cerebral Cortex Advance Access published on June 1, 2005, DOI 10.1093/cercor/bhh172. Cereb. Cortex 15: 708-719.

<hr>

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Data_Oct2009_ID_NI}}

SOCR Data Oct2009 ID NI

2013-05-30T18:51:07Z

IvoDinov: /* Data Description */

== [[SOCR_Data | SOCR Datasets]] - Normal and Schizophrenia Neuroimaging study of Children ==

===Data Overview===
[[Image:SOCR_Data_Dinov_July2009_NI.png|150px|thumbnail|right| Children Neuroimaging Data]]
This is a [[SOCR_Data_Oct2009_ID_NI#References |neuroimaging study of childhood-onset schizophrenia]]. It uses automated volumetric data processing to obtain different volume measures of local anatomy for schizophrenia patients and age-matched normal controls. The goals of the study were to identify associations and relationships between neuroimaging biomarkers and various subject demographics and traits.

[http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and [http://www.socr.ucla.edu/SOCR_MotionCharts/ SOCR MotionCharts] may be used to render dynamic visualizations of these data. [[SOCR_EduMaterials_ChartsActivities | SOCR Charts help is available here]]. [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses] (e.g., Multivariate Regression Analysis, ANOVA, etc.) may be used to fit models and quantitative assessment of relations between different variables. [[SOCR_EduMaterials_AnalysesActivities | SOCR Analyses help is available here]].

===Data Description===
* Subject: Subject identifier
* Age: Subject Age
* DX: Subject diagnosis (Normals=1; Schizophrenia=2)
* Sex: Subject gender (Male=1; female=2)
* FS_IQ: Subject Intelligence Quotient (IQ)
* TBV: Total Brain Volume (\(mm^3\))
* GMV: Total Gray Matter Volume (\(mm^3\))
* WMV: Total White MAtter Volume (\(mm^3\))
* CSF: Total Cerebrospinal Fluid (\(mm^3\))
* Background: Background volume (\(mm^3\))
* L_superior_frontal_gyrus, R_superior_frontal_gyrus, ..., brainstem: 56 regional cortical and subcortical volumes (region anatomical names are encoded in the column heading).

===Data===
{| class="wikitable" style="text-align:center;" border="2"
|-
! Subject||Age||DX||Sex||FS_IQ||TBV||GMV||WMV||CSF||Background||L_superior_frontal_gyrus||R_superior_frontal_gyrus||L_middle_frontal_gyrus||R_middle_frontal_gyrus||L_inferior_frontal_gyrus||R_inferior_frontal_gyrus||L_precentral_gyrus||R_precentral_gyrus||L_middle_orbitofrontal_gyrus||R_middle_orbitofrontal_gyrus||L_lateral_orbitofrontal_gyrus||R_lateral_orbitofrontal_gyrus||L_gyrus_rectus||R_gyrus_rectus||L_postcentral_gyrus||R_postcentral_gyrus||L_superior_parietal_gyrus||R_superior_parietal_gyrus||L_supramarginal_gyrus||R_supramarginal_gyrus||L_angular_gyrus||R_angular_gyrus||L_precuneus||R_precuneus||L_superior_occipital_gyrus||R_superior_occipital_gyrus||L_middle_occipital_gyrus||R_middle_occipital_gyrus||L_inferior_occipital_gyrus||R_inferior_occipital_gyrus||L_cuneus||R_cuneus||L_superior_temporal_gyrus||R_superior_temporal_gyrus||L_middle_temporal_gyrus||R_middle_temporal_gyrus||L_inferior_temporal_gyrus||R_inferior_temporal_gyrus||L_parahippocampal_gyrus||R_parahippocampal_gyrus||L_lingual_gyrus||R_lingual_gyrus||L_fusiform_gyrus||R_fusiform_gyrus||L_insular_cortex||R_insular_cortex||L_cingulate_gyrus||R_cingulate_gyrus||L_caudate||R_caudate||L_putamen||R_putamen||L_hippocampus||R_hippocampus||cerebellum||brainstem
|-
|27||14||1||1||118||1663407||654981||840874||167553||8362251||67276||66079||63661||67684||29368||25693||30471||34528||8294||9723||6816||4960||2180||2459||23126||20692||22016||24604||15130||15955||17463||20257||14977||14054||6550||6878||19487||21535||8896||12041||5631||7386||31923||30222||30234||30419||23116||27490||6772||6461||15609||18191||17755||14817||10054||9670||16570||16524||1567||2391||4556||2474||5134||4742||168778||31055
|-
|106||15||1||1||116||1583940||527918||851560||204463||8586107||19866||17346||11056||7676||6050||5125||1352||1837||747||534||608||41||329||299||167||408||3851||3090||1492||1577||477||2430||1724||1596||25||55||1151||1715||588||1244||191||372||4118||9923||2175||2294||715||514||946||704||1863||2035||856||1634||4524||1210||2085||2596||142||396||5827||1042||860||535||103469||15778
|-
|139||14||1||2||107||1299470||550035||614598||134837||8627510||15450||14219||8647||6463||6370||4773||1308||1504||528||401||594||34||277||286||164||288||2771||3415||1177||1116||312||1804||1120||1161||30||52||931||1403||469||1001||173||319||3153||8239||1758||1864||528||403||724||633||1379||1801||773||1268||3884||1034||1503||1969||143||290||4789||938||665||457||89234||13864
|-
|143||15||1||1||107||1535137||599372||780127||155638||8607550||15483||13942||11253||9433||6636||4764||1280||1681||778||586||750||45||227||295||184||271||2531||3481||1270||1402||370||1938||827||706||34||56||1125||1701||537||1178||218||341||3534||9404||2307||2060||654||552||957||706||1612||2024||841||1277||4080||1141||1736||2009||148||353||4547||907||892||551||93754||18444
|-
|172||15||1||2||107||1431890||593306||695296||143288||8617899||18538||17094||10254||7201||6980||5692||1095||1607||804||437||759||32||335||320||159||304||3089||3273||1017||1559||355||2154||1103||1251||26||73||1062||1572||525||1120||234||358||3803||9395||2269||2146||735||515||842||720||1721||1902||790||1167||4317||1134||1602||2063||159||311||5003||906||754||530||79980||16316
|-
|184||15||1||1||100||1578698||822056||546395||210247||8593510||16515||15956||8550||5537||6531||4788||1202||1111||754||538||721||41||311||479||232||300||2928||3967||1227||2087||435||2724||1200||1327||34||77||1152||1831||602||1272||261||361||3045||9372||1839||1500||601||420||815||744||1476||2244||835||1541||5076||1424||1813||2244||139||343||6233||935||817||564||109382||15397
|-
|185||14||1||1||94||1453510||534556||730155||188800||8624978||17285||15062||8461||6283||4791||3742||1199||1584||784||508||562||25||247||265||156||284||2469||2377||902||1111||332||1622||1071||1077||25||72||982||1483||488||1079||231||328||3730||8868||1910||1824||598||436||801||681||1456||1626||956||1547||4082||1189||1835||2446||198||313||4769||802||752||551||90110||14017
|-
|198||10||1||1||114||1650348||608916||860876||180555||8631722||18709||20009||8386||7556||9224||5770||1260||1592||796||440||889||51||297||357||207||285||3643||3448||1562||1370||444||2117||1337||1297||38||63||1153||1794||575||1191||220||396||3554||9583||2228||2107||579||505||712||710||1307||1446||628||1000||5077||1444||1692||2551||142||333||5512||1011||840||661||63340||12202
|-
|199||15||1||2||107||1288971||479707||668576||140688||8629619||18248||15918||8063||5728||6346||4339||1215||1123||663||428||654||44||321||334||191||266||2846||3247||1083||1482||321||2119||1162||1097||26||59||951||1429||474||1013||160||339||3432||8230||2100||1810||665||461||776||618||1423||1797||763||1102||4143||1096||1645||2215||145||273||5018||882||848||464||83317||12830
|-
|402||19||1||1||95||1366346||699476||479998||186872||8624830||16847||15280||9105||4614||5690||3872||1280||1524||558||352||571||29||270||339||188||278||2962||2521||941||1451||341||2243||1159||1052||30||70||953||1488||499||1038||227||305||3674||9363||1885||1752||575||380||842||692||1435||1573||730||1467||4201||948||1657||2460||155||400||5093||743||749||489||88166||15030
|-
|403||18||1||2||109||1326402||438889||725969||161544||8641084||15104||13257||7879||5046||5675||4523||1180||1506||534||371||586||23||246||374||169||280||2849||2553||893||1382||310||2026||920||997||29||70||965||1419||469||1027||154||363||3107||8466||1903||1615||565||412||772||614||1608||1806||692||1091||3737||906||1606||2279||153||385||4718||866||632||462||79662||15043
|-
|406||18||1||1||125||1503005||711924||595506||195575||8615606||20078||16916||8348||6671||6448||4804||1007||1138||637||456||584||34||318||544||135||197||3325||3690||968||1092||442||1996||1511||1489||40||52||1071||1619||522||1146||205||391||4010||8512||2033||1702||671||481||771||631||1585||1907||650||970||4950||1200||1767||2455||139||361||5676||1055||759||559||83733||17302
|-
|410||16||1||1||108||1474790||774131||520734||179924||8689876||8627||6539||6633||8386||11221||2813||4685||3939||1297||2549||2515||1220||519||340||4871||2393||2830||1827||1135||1713||1332||2352||1291||1807||431||396||2438||2871||1368||1307||730||277||1428||4208||1371||3161||1971||2244||1796||849||2600||1456||3639||2056||1021||966||1647||769||115||61||280||84||294||712||21732||10373
|-
|415||18||1||2||115||1317156||679761||489468||147927||8656938||15478||14363||7604||6193||5617||4219||1150||1535||628||388||528||31||325||288||134||273||2591||3226||884||1051||295||1612||1043||1227||26||66||910||1387||466||1019||192||296||3413||8391||1880||1900||595||397||766||592||1482||1697||716||1330||3889||1109||1591||2062||142||242||4428||851||765||525||64064||12555
|-
|418||17||1||2||107||1441045||718755||532976||189314||8613352||17330||15135||9177||5869||5574||4439||1342||1761||606||399||621||39||295||340||228||296||3468||3039||1164||1085||323||2241||1343||1334||26||77||1025||1588||522||1114||228||351||4143||9217||2474||2121||708||545||751||736||1514||1633||725||1314||3728||958||1762||2346||183||398||5078||852||738||542||92635||16528
|-
|419||18||1||2||125||1463498||689875||576051||197571||8646868||20052||15972||7441||5532||7341||5017||1236||1101||672||404||636||29||357||434||171||191||3006||3232||971||1002||378||1787||983||1013||32||74||1024||1612||492||1158||223||316||3772||7580||2231||1904||658||470||534||729||1167||1537||582||1051||4917||1134||2125||2410||178||352||6018||1020||639||641||64376||10585
|-
|421||16||1||1||127||1650207||834956||635818||179433||8575716||21232||18430||6856||6471||6114||5624||1321||890||834||495||691||38||470||563||195||193||3822||3975||1391||1582||620||2177||2443||2192||41||62||1238||1839||648||1285||239||392||4789||9618||2064||2221||663||470||947||688||1902||1939||972||1633||4854||1321||2254||2209||176||330||5649||1088||806||546||115486||14658
|-
|426||16||1||1||116||1523045||744793||607825||170427||8583342||20472||18013||9033||5914||7361||5491||1090||1386||726||352||785||30||330||381||186||226||3452||3518||1010||1056||489||1774||1771||1832||31||60||1109||1726||562||1211||214||370||3668||8951||2140||2389||739||573||862||731||1627||2143||777||1291||5088||1296||1820||2586||220||329||5685||949||724||465||109129||17878
|-
|427||15||1||2||104||1441636||755991||499994||185651||8614891||17903||16596||9626||7835||5588||4797||1370||2102||689||426||599||35||267||339||185||359||2860||2699||890||1412||346||1994||982||1005||36||72||1025||1564||504||1091||207||330||3606||9503||2024||2023||642||444||733||625||1458||1625||873||1335||4119||1044||1528||2090||152||342||5204||835||713||473||89714||15633
|-
|428||16||1||1||133||1432033||735130||506333||190569||8610954||15985||14383||8253||5871||7177||5686||1214||1483||720||450||822||57||286||319||193||271||3269||3607||1102||1430||299||1884||1184||1236||31||55||998||1564||527||1091||178||328||3304||9263||2222||2039||693||457||867||702||1635||1794||769||1410||4791||1208||1657||2140||215||372||5491||888||693||589||94529||16727
|-
|725||15||1||2||109||1420416||699547||551242||169628||8620336||17270||16178||8640||5189||6835||4780||1037||1562||551||417||571||37||247||344||173||306||3332||3976||1011||1231||464||2128||1149||1165||27||62||1002||1586||498||1088||208||342||3301||9094||2234||2252||789||511||713||638||1517||1777||883||1362||4081||1149||1633||2345||147||324||4877||930||697||425||87995||13949
|-
|744||11||1||2||122||1480171||798755||492263||189153||8615243||18033||18035||8631||7109||6689||4770||1230||1589||697||454||760||41||252||373||186||269||3187||2681||1025||1172||411||2022||923||929||26||45||1077||1622||539||1205||230||396||4163||9830||2174||2315||547||479||859||730||1444||2017||963||1293||4111||1233||1745||2799||158||318||4948||984||925||554||86606||14317
|-
|754||8||1||2||127||1360810||506955||702942||150913||8623275||16824||14686||9453||7920||5421||4660||1345||2288||651||432||564||20||260||305||194||388||3392||3240||830||1250||381||1959||1278||1278||30||49||999||1478||485||1070||184||345||3213||8925||2045||2196||557||451||762||642||1603||1923||919||1288||3725||835||1865||2235||162||234||5954||1111||718||553||85679||12838
|-
|765||10||1||2||130||1410213||496574||779752||133887||8619691||17445||14358||8140||6350||6483||5267||1079||949||696||399||613||42||265||278||175||208||2422||3192||1104||1335||354||1886||1288||1355||37||58||1052||1823||542||1168||208||362||4375||8799||2467||2088||754||525||732||644||1534||2114||675||1183||3900||1107||1682||2493||129||244||4582||795||737||534||89460||15185
|-
|771||9||1||1||112||1574808||620632||750134||204042||8604714||17119||17164||8518||6462||7801||5124||1405||1821||769||539||769||35||322||441||191||349||3113||3002||1253||1464||331||2494||1485||1500||33||61||1133||1728||528||1191||239||432||4533||10021||2508||1935||710||471||958||759||1773||2004||804||1400||4261||1291||1786||2512||156||390||4889||867||875||554||92345||16030
|-
|776||8||1||1||101||1502702||567365||776399||158938||8597094||18549||16736||11438||7941||6483||5138||1388||2128||728||548||658||35||315||377||188||395||2949||3099||1153||1433||365||2189||1318||1287||36||70||1123||1664||537||1207||227||431||4146||10140||2534||2506||666||528||768||615||1637||1882||940||1439||4244||1073||1913||2466||94||263||4696||828||955||525||98724||14556
|-
|778||9||1||2||110||1203344||435584||621379||146381||8659540||12652||11904||7458||5776||4923||4161||1265||1528||573||332||485||39||236||227||158||343||2643||2806||791||1550||257||1810||1203||1119||27||59||853||1345||415||912||192||287||3188||8063||1827||1423||540||384||766||693||1576||1758||657||1149||3377||1001||1409||1858||153||296||4371||797||767||498||70067||12874
|-
|785||8||1||2||87||1319737||505742||622518||191477||8636077||12422||13420||8585||6769||6832||5769||1106||1472||635||451||583||56||299||275||141||336||3030||2687||834||1247||264||1574||772||783||32||45||945||1382||471||1008||155||296||2948||8066||1716||1592||496||334||705||556||1197||1520||656||1145||4116||1047||1317||2069||95||290||4092||745||655||417||85986||14846
|-
|804||15||1||1||97||1688990||745760||727705||215525||8561299||23037||19752||10804||7933||7451||6245||1330||1674||752||416||736||44||380||391||169||287||3412||3315||1192||1388||523||2143||1778||1823||38||58||1263||1842||593||1280||217||428||4860||10610||3754||2884||957||640||975||700||1772||1881||924||1726||4960||1495||2031||2650||98||353||5578||1053||895||614||114330||17629
|-
|806||8||1||1||91||1292641||496689||627691||168261||8661637||11967||10885||9296||6920||5905||4095||1015||1506||538||368||513||25||330||312||134||235||2517||2449||723||897||268||1210||746||816||19||61||911||1308||448||1013||152||301||2983||7372||1692||1882||455||372||785||683||1462||1487||883||932||3353||938||1244||1435||114||258||4177||697||622||429||70254||13334
|-
|845||7||1||1||91||1512571||540404||836972||135195||8605736||18706||16391||10730||8046||6302||5214||1446||2052||795||497||702||37||366||374||184||359||2678||2726||925||1453||359||1949||968||1084||29||74||1122||1645||537||1145||205||339||4423||10713||2410||2330||706||528||853||738||1448||1953||892||1479||4752||1016||1715||2251||127||291||5196||904||876||599||90182||15801
|-
|891||16||1||1||114||1635918||849750||578190||207978||8581983||20405||17761||10580||8201||7099||5035||1274||1779||602||708||694||61||318||349||169||318||4773||4150||1102||1241||488||1835||2243||1965||39||79||1133||1747||553||1212||262||406||4884||9456||2809||2447||816||574||875||777||1724||2508||989||1078||4272||1310||2084||2698||189||365||5579||1045||955||494||98768||20101
|-
|102||16||2||2||96||1331777||461919||633299||236559||8630696||15083||13487||8785||6170||5961||4597||1119||1727||738||440||592||25||283||286||178||327||2326||2640||914||1263||329||1673||1010||927||29||50||979||1391||467||1052||189||302||3029||8309||1881||1589||550||351||678||518||1599||1630||778||1182||3509||965||1693||2156||220||405||4768||768||585||371||88089||15705
|-
|104||16||2||1||99||1487886||698476||576154||213256||8598531||22772||17827||8686||7075||7261||5269||1097||1321||740||435||820||30||342||329||177||204||3059||3336||1128||1052||341||1815||1625||1535||33||75||1053||1565||525||1133||171||351||3936||7254||2114||1723||562||504||868||738||1813||2178||764||1182||4144||982||1903||2330||191||275||4241||890||832||551||100465||15212
|-
|119||13||2||2||65||1066075||327078||613545||125453||8683378||13650||11672||7859||5453||4639||3582||1096||1440||544||330||462||24||245||253||136||226||2205||2155||632||807||264||1272||786||889||27||51||772||1133||402||832||147||250||2917||6771||1693||1788||609||377||640||473||1035||1266||621||964||3156||735||1176||1396||106||219||3652||612||544||359||58297||10347
|-
|120||13||2||2||96||1297327||439613||711602||146112||8687155||13852||14470||6930||5716||5201||2881||1225||796||517||336||488||35||186||314||132||162||2701||3150||1097||697||309||1230||1029||1140||24||53||932||1500||467||1021||197||311||3254||6994||2120||1437||688||442||561||498||1005||1154||429||669||3668||937||1473||1972||116||216||4318||792||623||497||47101||10140
|-
|121||15||2||2||84||1499983||663553||642409||194021||8602371||18680||16328||8277||7013||7642||5231||1294||1293||625||455||711||30||388||376||126||218||3504||2483||920||1234||437||2030||1274||1115||24||60||1083||1634||548||1114||244||450||4389||9457||2167||2317||654||424||876||638||1319||1784||657||1244||4588||1302||1915||2224||169||311||5331||949||800||570||97750||16316
|-
|130||15||2||1||86||1861991||893907||617597||350487||8016718||38687||52784||58902||56573||26349||21542||17622||32005||2961||9061||3850||5828||775||1233||18275||16229||10649||13286||8018||10434||9210||12811||12035||5550||1537||77||6260||5257||2063||3909||1105||524||15387||34386||14116||20014||17631||17444||2277||2594||2600||5101||5726||8392||2452||4054||2783||2860||228||589||1579||1381||1052||1251||170553||30798
|-
|132||17||2||2||93||1368378||560423||636098||171857||8656790||14582||14359||9351||6795||6145||4087||1107||1591||604||425||582||31||269||280||155||215||2866||2586||737||771||347||1300||803||818||33||72||1004||1396||475||1081||158||341||3311||7707||2061||2220||653||562||673||608||1255||1535||615||943||3665||911||1439||1672||132||295||4383||791||763||502||61629||16883
|-
|147||18||2||2||87||1476891||690871||541567||244452||8599630||19388||16544||9578||6893||5922||4938||1215||1581||662||424||640||30||362||427||223||321||3948||4529||1082||1421||382||2101||1343||1347||38||70||1046||1582||509||1220||237||364||3325||8985||1871||2108||561||455||880||595||1595||1849||670||1097||4248||1165||1659||2133||186||378||5143||1036||781||500||98411||17737
|-
|151||15||2||2||64||1443775||671628||501852||270295||8624750||18140||16790||8574||5401||6042||5074||1158||1264||632||484||492||27||336||439||147||209||2932||2859||889||880||366||1584||1029||1013||33||65||1056||1586||526||1115||197||384||4269||7787||2440||2588||816||573||709||613||1504||1681||666||971||4264||982||1758||2305||168||333||5248||914||809||532||82916||16043
|-
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|876||16||2||1||86||1636119||701270||646922||287927||8596893||18323||16800||11129||7460||6638||5801||1307||1699||794||484||801||29||315||386||139||278||3582||3646||895||1214||397||1864||1241||1302||34||76||1162||1658||564||1216||213||355||3921||9175||2855||2548||789||535||1015||756||1921||1994||1010||1367||4436||1325||1708||2180||178||408||5461||858||847||489||93442||19447
|}

=== References===
* Katherine L. Narr , Robert M. Bilder , Arthur W. Toga , Roger P. Woods , David E. Rex , Philip R. Szeszko , Delbert Robinson , Serge Sevy , Handan Gunduz-Bruce , Yung-Ping Wang , Heather DeLuca , and Paul M. Thompson. (2005) [http://cercor.oxfordjournals.org/cgi/content/abstract/15/6/708 Mapping Cortical Thickness and Gray Matter Concentration in First Episode Schizophrenia]. Cerebral Cortex Advance Access published on June 1, 2005, DOI 10.1093/cercor/bhh172. Cereb. Cortex 15: 708-719.

<hr>

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Data_Oct2009_ID_NI}}

AP Statistics Curriculum 2007 GLM Corr

2013-05-29T15:44:06Z

IvoDinov: /* Lines in 2D */ typo

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Correlation ==

Many biomedical, social, engineering and science applications involve the analysis of relationships, if any, between two or more variables involved in the process of interest. We begin with the simplest of all situations where bivariate data (''X'' and ''Y'') are measured for a process and we are interested in determining the association, relation or an appropriate model for these observations (e.g., fitting a straight line to the pairs of (''X,Y'') data). If we are successful determining a relationship between ''X'' and ''Y'', we can use this model to make predictions - i.e., given a value of ''X'' predict a corresponding ''Y'' response. Note that in this design, data consists of paired observations (''X,Y'') - for example, the [[SOCR_Data_Dinov_020108_HeightsWeights | height and weight of individuals]].

===Lines in 2D===
There are 3 types of lines in 2D planes - Vertical Lines, Horizontal Lines and Oblique Lines. In general, the mathematical representation of lines in 2D is given by equations like <math>aX + bY=c</math>, most frequently expressed as <math>Y=aX + b</math>, provided the line is not vertical.

Recall that there is a one-to-one correspondence between any line in 2D and (linear) equations of the form
: If the line is '''vertical''' (<math>X_1 =X_2</math>): <math>X=X_1</math>;
: If the line is '''horizontal''' (<math>Y_1 =Y_2</math>): <math>Y=Y_1</math>;
: Otherwise ('''oblique''' line): <math>{Y-Y_1 \over Y_2-Y_1}= {X-X_1 \over X_2-X_1}</math>, (for <math>X_1\not=X_2</math> and <math>Y_1\not=Y_2</math>)
where <math>(X_1,Y_1)</math> and <math>(X_2, Y_2)</math> are two points on the line of interest (2-distinct points in 2D determine a unique line).

* Try drawing the following lines manually and [http://www.pserc.cornell.edu/pserc/java/graph/examples/parse1d.html using this applet]:
: Y=2X+1
: Y=-3X-5

=== The Correlation Coefficient===
'''Correlation coefficient''' (<math>-1 \leq \rho \leq 1</math>) is a measure of linear association, or clustering around a line of multivariate data. The main relationship between two variables (''X, Y'') can be summarized by: <math>(\mu_X, \sigma_X)</math>, <math>(\mu_Y, \sigma_Y)</math> and the correlation coefficient, denoted by <math>\rho=\rho_{(X,Y)}=R(X,Y)</math>.

* If <math>\rho=1</math>, we have a perfect positive correlation (straight line relationship between the two variables)
* If <math>\rho=0</math>, there is no correlation (random cloud scatter), i.e., no ''linear'' relation between ''X'' and ''Y''.
* If <math>\rho = -1</math>, there is a perfect negative correlation between the variables.

====Computing <math>\rho=R(X,Y)</math>====
The protocol for computing the correlation involves standardizing, multiplication and averaging.

* In general, for any [[AP_Statistics_Curriculum_2007_Distrib_RV | random variable]]:
:<math>\rho_{X,Y}={\mathrm{COV}(X,Y) \over \sigma_X \sigma_Y} ={E((X-\mu_X)(Y-\mu_Y)) \over \sigma_X\sigma_Y},</math>
where ''E'' is the [[AP_Statistics_Curriculum_2007_Distrib_MeanVar | expected value]] operator and ''COV'' means [[AP_Statistics_Curriculum_2007_Distrib_MeanVar#Properties_of_Variance | covariance]].
Since μ''X'' = E(''X''), <math>\sigma_X^2 = E(X^2)-E^2(X)</math> and similarly for ''Y'', we may also write

:<math>\rho_{X,Y}=\frac{E(XY)-E(X)E(Y)}{\sqrt{E(X^2)-E^2(X)}~\sqrt{E(Y^2)-E^2(Y)}}.</math>

* '''Sample correlation''' - we only have sampled data - we replace the (unknown) expectations and standard deviations by their sample analogues (sample-mean and sample-standard deviation) to compute the sample correlation:

: Suppose {<math>X_1, X_2, X_3, \cdots, X_n</math>} and {<math>Y_1, Y_2, Y_3, \cdots, Y_n</math>} are bivariate observations of the same process and <math>(\mu_X, \sigma_X)</math> and <math>(\mu_Y, \sigma_Y)</math> are the means and standard deviations for the X and Y measurements, respectively.

: <math> \rho_{x,y}=\frac{\sum x_iy_i-n \bar{x} \bar{y}}{(n-1) s_x s_y}=\frac{n\sum x_iy_i-\sum x_i\sum y_i} {\sqrt{n\sum x_i^2-(\sum x_i)^2}~\sqrt{n\sum y_i^2-(\sum y_i)^2}}. </math>

:<math> \rho_{x,y}=\frac{\sum (x_i-\bar{x})(y_i-\bar{y})}{(n-1) s_x s_y} = {1 \over n-1} \sum_{i=1}^n { {x_i-\bar{x} \over s_x} {y_i-\bar{y}\over s_y}}, </math>

where <math>\bar{x}</math> and <math>\bar{y}</math> are the sample means of ''X''  and ''Y'' , ''s''''x''  and ''s''''y''  are the sample standard deviations of ''X''  and ''Y''  and the sum is from ''i'' = 1 to ''n''. We may rewrite this as

:<math> \rho_{x,y}=\frac{\sum x_iy_i-n \bar{x} \bar{y}}{(n-1) s_x s_y}=\frac{n\sum x_iy_i-\sum x_i\sum y_i} {\sqrt{n\sum x_i^2-(\sum x_i)^2}~\sqrt{n\sum y_i^2-(\sum y_i)^2}}. </math>

* Note: The correlation is defined only if both of the standard deviations are finite and are nonzero. It is a corollary of the [http://en.wikipedia.org/wiki/Cauchy-Schwarz_inequality Cauchy-Schwarz inequality] that the correlation is always bounded <math>-1 \leq \rho \leq 1</math>.

===Examples===

====Human weight and height====
Suppose we took only 6 of the over 25,000 observations of [[SOCR_Data_Dinov_020108_HeightsWeights |human weight and height included in this SOCR Dataset]].
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| Subject Index || Height(<math>x_i</math>) in cm || Weight (<math>y_i</math>) in kg || <math>x_i-\bar{x}</math> || <math>y_i-\bar{y}</math> || <math>(x_i-\bar{x})^2</math> || <math>(y_i-\bar{y})^2</math> || <math>(x_i-\bar{x})(y_i-\bar{y})</math>
|-
| 1 || 167 || 60 || 6 || 4.67 || 36 || 21,82 || 28.02
|-
| 2 || 170 || 64 || 9 || 8.67 || 81 || 75.17 || 78.03
|-
| 3 || 160 || 57 || -1 || 1.67 || 1 || 2.79 || -1.67
|-
| 4 || 152 || 46 || -9 || -9.33 || 81 || 87.05 || 83.97
|-
| 5 || 157 || 55 || -4 || -0.33 || 16 || 0.11 || 1.32
|-
| 6 || 160 || 50 || -1 || -5.33 || 1 || 28.41 || 5.33
|-
| Total || 966 || 332 || 0 || 0 || 216 || 215.33 || 195.0
|}
</center>

We can easily now compute by hand <math>\bar{x}=966/6=161</math> (cm), <math>\bar{y}=332/6=55</math> (kg), <math>s_x=\sqrt{216/5}=6.57</math> and <math>s_y=\sqrt{215.3/5}=6.56</math>.

Therefore, <math> \rho_{x,y}= {1 \over n-1} \sum_{i=1}^n { {x_i-\bar{x} \over s_x} {y_i-\bar{y}\over s_y}} = 0.904. </math>

Of course, these calculations become difficult for more than a few paired observations and that is why we use [[SOCR_EduMaterials_AnalysisActivities_SLR | the Simple Linear Regression]] in [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses] to compute the correlation and other linear associations in the bivariate case. The image below shows the calculations for the same data shown above in SOCR.

<center>[[Image:SOCR_EBook_Dinov_GLM_Corr_021608_Fig1.jpg|500px]]</center>

Use [[SOCR_EduMaterials_AnalysisActivities_SLR | the Simple Linear Regression]] to compute the correlation between the height and weight in the first 200 measurements in the [[SOCR_Data_Dinov_020108_HeightsWeights |human weight and height included in this SOCR Dataset]].

====Hot-dogs dataset====
Use [[SOCR_EduMaterials_AnalysisActivities_SLR | the Simple Linear Regression]] to compute the correlation between the calories and sodium in the [[SOCR_012708_ID_Data_HotDogs | Hot-dogs dataset]].

====Airfare Example====
Suppose we have the following bivariate X={airfare} and Y={distance traveled from Baltimore, MD} measurements:

<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| '''Destination''' || '''Distance''' || '''Airfare'''
|-
| Atlanta || 576 || 178
|-
| Boston || 370 || 138
|-
| Chicago || 612 || 94
|-
| Dallas || 1216 || 278
|-
| Detroit || 409 || 158
|-
| Denver || 1502 || 258
|-
| Miami || 946 || 198
|-
| New_Orleans || 998 || 188
|-
| New_York || 189 || 98
|-
| Orlando || 787 || 179
|-
| Pittsburgh || 210 || 138
|-
| St._Louis || 737 || 98
|}</center>

Use [[SOCR_EduMaterials_AnalysisActivities_SLR | the Simple Linear Regression]] to find the correlation between ticket fare and the distance traveled by passengers. Explain your findings.

===Properties of the Correlation Coefficient===

* The correlation is associative operation: <math>\rho_{(X,Y)} = \rho_{(Y,X)}</math>
* The correlation is (almost) linearly invariant: <math>\rho_{(aX+b,Y)} = \sgn(a)\times \rho_{(X,Y)}</math>. If <math>a>0</math>, then <math>\rho_{(aX+b,Y)} = \rho_{(X,Y)}</math>. If <math>a<0</math>, then <math>\rho_{(aX+b,Y)} = -\rho_{(X,Y)}</math>.
* A trivial correlation, <math>\rho_{X,Y}=0</math> only implies that there is '''no linear relation between X and Y''', but there may be other relations (e.g., quadratic). Therefore, [[AP_Statistics_Curriculum_2007_Prob_Rules#Statistical_Independence | statistical independence of X and Y]] does imply that <math>\rho_{X,Y}=0</math>. However the converse is false, <math>\rho_{X,Y}=0</math> does not imply independence!
* A high correlation between X and Y does not imply causality (i.e., does not mean that one of the variables causes the observed behavior in the other. For example, consider X={math scores} and Y={shoe size) for all K-12 students. X and Y are very highly positively correlated, yet higher shoe sizes do not imply better math skills.
* [http://en.wikipedia.org/wiki/Correlation The complete properties of the Correlation coefficients may be found here].

===Statistical inference on correlation coefficients===
* Testing a single correlation coefficient \(H_o: r=\rho \) vs. \(H_a: r\not= \rho \)):
: There is a simple statistical test for the correlation coefficient. Suppose we want to test if the correlation between X and Y is equal to <math>rho</math>. If our bivariate sample is of size N and the observed sample correlation is ''r'', then the test statistics is:
:: <math>t_o = \frac{r}{\sqrt{\frac{1-r^2}{N-2}}}</math>, which has [[AP_Statistics_Curriculum_2007_StudentsT |T-distribution with df=N—2]].

* Comparing two correlation coefficients: The [http://en.wikipedia.org/wiki/Fisher_transformation Fisher's transformation] provides a mechanism to test for comparing two correlation coefficients using [[AP_Statistics_Curriculum_2007#Chapter_V:_Normal_Probability_Distribution |Normal distribution]]. Suppose we have 2 independent paired samples <math>\{(X_i,Y_i)\}_{i=1}^{n_1}</math> and <math>\{(U_j,V_j)\}_{j=1}^{n_2}</math>, and the r1=corr(X,Y) and r2=corr(U,V) and we are testing \(H_o: r1=r2\) vs. \(H_a: r1\not= r2\). The Fisher's transformation for the 2 correlations is defined by:
:: <math>\hat{r}= \frac{1}{2} \log_e \| \frac{1+r}{1-r} \|</math>
: Transforming the two correlation coefficients separately yields:
::<math>r11= \frac{1}{2} \log_e \| \frac{1+r1}{1-r1} \|</math>, and
::<math>r22= \frac{1}{2} \log_e \| \frac{1+r22}{1-r22} \|</math>

: Then the test statistics <math>Z_o= \frac{r11-r22}{\sqrt{\frac{1}{n1-3}+ \frac{1}{n2-3}}}</math> is Standard Normally distributed.

Note that the hypotheses for the single and double sample inference are \( H_o: r=0\) vs. \(H_a: r \not= 0 \), and \( H_o: r1-r2=0\) vs. \(H_a: r1-r2 \not= 0 \), respectively. And an estimate of the standard deviation of the correlation is \(SD ( \hat{r}) = \sqrt{\frac{1}{n-3}}\). Thus, \( r \sim N(0, \sqrt{\frac{1}{n-3}}) \).

====Brain volume and age example====
The following dataset represents the brain volume (responses) measurements and ages (predictors) for 2 cohorts of subjects (Group1 and Group2):
<center>
{| class="wikitable" style="text-align:center; width:30%" border="1"
|-
! Group1 || Age1 || Volume1 || Group2 || Age2 || Volume2
|-
| 1 || 64 || 0.245517 || 2 || 30 || 0.29165
|-
| 1 || 30 || 0.308443 || 2 || 38 || 0.297111
|-
| 1 || 37 || 0.294692 || 2 || 46 || 0.275401
|-
| 1 || 62 || 0.279998 || 2 || 55 || 0.284923
|-
| 1 || 59 || 0.256802 || 2 || 37 || 0.287809
|-
| 1 || 51 || 0.293875 || 2 || 41 || 0.291287
|-
| 1 || 52 || 0.28895 || 2 || 57 || 0.26833
|-
| 1 || 59 || 0.29262 || 2 || 69 || 0.268375
|-
| 1 || 33 || 0.283666 || 2 || 69 || 0.253352
|-
| 1 || 47 || 0.27458 || 2 || 41 || 0.292208
|-
| 1 || 62 || 0.27269 || 2 || 60 || 0.276306
|-
| 1 || 58 || 0.269609 || 2 || 59 || 0.27905
|-
| 1 || 55 || 0.277243 || 2 || 50 || 0.262916
|-
| 1 || 61 || 0.236264 || 2 || 58 || 0.290697
|-
| 1 || 70 || 0.218015 || 2 || 58 || 0.269361
|-
| 1 || 38 || 0.287205 || 2 || 61 || 0.268247
|-
| 1 || 41 || 0.307387 || 2 || 57 || 0.294204
|-
| 1 || 40 || 0.271063 || 2 || 50 || 0.292699
|-
| 1 || 25 || 0.307688 || 2 || 38 || 0.273969
|-
| 1 || 70 || 0.237811 || 2 || 57 || 0.29049
|-
| 1 || 49 || 0.293371 || 2 || 64 || 0.286564
|-
| 1 || 56 || 0.252592 || 2 || 71 || 0.257386
|-
| 1 || 56 || 0.251349 || 2 || 34 || 0.314958
|-
| 1 || 40 || 0.29616 || 2 || 53 || 0.298022
|-
| 1 || 50 || 0.249596 || 2 || 53 || 0.269229
|-
| 1 || 55 || 0.282721 || 2 || 25 || 0.270634
|-
| 1 || 69 || 0.247565 || 2 || 61 || 0.266905
|}
</center>

: We have 2 independent groups (Group1 and Group2) and Y=Volume1 (response) and X=Age1 (predictor); V=Volume2 and U=Age2, n1=27, n2=27. We can also [http://www.socr.ucla.edu/htmls/ana/SimpleRegression_Analysis.html compute the 2 correlation coefficients]:
:: <math>r1=corr(X,Y)=-0.75339</math>, and
:: <math>r2=corr(U,V) = -0.49491</math>

: Using the Fisher's transformation we obtain:
::<math>r11= \frac{1}{2} \log_e \| \frac{1+r1}{1-r1} \|=-0.980749</math>, and
::<math>r22= \frac{1}{2} \log_e \| \frac{1+r22}{1-r22} \|=-0.5425423</math>

: And thus, <math>Z_o=\frac{r11-r22}{\sqrt{\frac{1}{24} +\frac{1}{24}}}= -1.517993</math> and a [http://socr.ucla.edu/htmls/dist/Normal_Distribution.html corresponding (1-sided) p-value] = 0.064508 (double-sided p-value = 0.129016).

===[[EBook_Problems_GLM_Corr|Problems]]===

<hr>

===References===
* [http://www.socr.ucla.edu/htmls/ana/SimpleRegression_Analysis.html SOCR Analyses / Simple Linear Regression Applet]
* [http://socr.ucla.edu/htmls/exp/Bivariate_Normal_Experiment.html Correlation/Regression Experiment]
* [http://socr.ucla.edu/htmls/SOCR_Games.html Interactive Correlation/Regression Game]
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_GLM_Corr}}

About pages for SOCR Applications

2013-05-28T19:12:24Z

IvoDinov: /* SOCR About Pages - SOCR Applications */

==[[SOCR_About_Pages | SOCR About Pages]] - SOCR Applications==
The SOCR Applications provide online aids for statistical modeling, inference and analysis in the field of business, economics and financial applications. Examples of tools, demonstration and activities developed as part of the SOCR Applications include Portfolio Management, Trading Options, Binomial Option Pricing, Stock Simulation, and Black-Scholes Option Pricing. These resources are valuable for college-level learning and teaching of applied statistics, economics and social studies.

This '''About''' page describes the collection of Java applets provided as part of the [http://www.socr.ucla.edu/htmls/app SOCR Applications] (must be synchronized with [http://socr.ucla.edu/htmls/jars/implementedApplications.txt implementedApplications.txt]).

<center>
{| class="wikitable" style="text-align:center" border="1" align="center"
|-
| [http://www.SOCR.ucla.edu/htmls/app Portfolio Application] || [http://www.socr.ucla.edu/docs/edu/ucla/stat/SOCR/applications/demo/PortfolioApplication2.html Java API]
|-
| [http://www.SOCR.ucla.edu/htmls/app Trading Options Application] || [http://www.socr.ucla.edu/docs/edu/ucla/stat/SOCR/applications/demo/StockApplication.html Java API]
|-
| [http://www.SOCR.ucla.edu/htmls/app Binomial Option Pricing Application] || [http://www.socr.ucla.edu/docs/edu/ucla/stat/SOCR/applications/demo/BinomialTradingApplication.html Java API]
|-
| [http://www.SOCR.ucla.edu/htmls/app Stock Simulation Application] || [http://www.socr.ucla.edu/docs/edu/ucla/stat/SOCR/applications/demo/StockApplication.html Java API]
|-
| [http://www.SOCR.ucla.edu/htmls/app Black-Scholes Option Pricing Application] || [http://www.socr.ucla.edu/docs/edu/ucla/stat/SOCR/applications/demo/BlackScholesApplication.html Java API]
|-
| colspan="2" style="text-align: center;" | [http://socr.ucla.edu/htmls/HTML5/econ_apps/Delta_Hedging_Curve/DeltaHedgingCurve.html Delta Hedging Plot (Webapp)]
|-
| colspan="2" style="text-align: center;" | [http://socr.ucla.edu/htmls/HTML5/econ_apps/BlackScholesPlot/BlackScholesPlot.html Black-Scholes Plot (Webapp)]
|}
</center>

* [[SOCR_EduMaterials_ApplicationsActivities | Application Activities]]
* [[Help_pages_for_SOCR_Applications | Help for the Application Applets]]

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=About_pages_for_SOCR_Applications}}

SOCR Events JMM BigData Jan2014

2013-05-25T16:32:59Z

IvoDinov: /* Speakers */

== [[SOCR_News | SOCR News & Events]]: 2014 JMM/AMS Special Session on Big-Data: Mathematical and Statistical Modeling, Tools, Services, and Training ==

[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': TBD
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* To be announced in September 2013
* Ivo Dinov, [http://www.ams.org/amsmtgs/2160_abstracts/1096-68-27.pdf Big Data Challenges in Neuroimaging, Informatics and Genomics Computing (1096-68-27)]

==Resources==
* Big Data Videos [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mp4 mp4] and [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mpg mpeg]
* Slides/papers: TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Events JMM BigData Jan2014

2013-05-25T16:32:38Z

IvoDinov: /* Speakers */

== [[SOCR_News | SOCR News & Events]]: 2014 JMM/AMS Special Session on Big-Data: Mathematical and Statistical Modeling, Tools, Services, and Training ==

[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': TBD
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* To be announced in September 2013
* Ivo Dinov, [http://www.ams.org/amsmtgs/2160_abstracts/1096-68-27.pdf Big Data Challenges in Neuroimaging, Informatics and Genomics Computing]

==Resources==
* Big Data Videos [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mp4 mp4] and [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mpg mpeg]
* Slides/papers: TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Events JMM BigData Jan2014

2013-05-25T01:00:08Z

IvoDinov:

== [[SOCR_News | SOCR News & Events]]: 2014 JMM/AMS Special Session on Big-Data: Mathematical and Statistical Modeling, Tools, Services, and Training ==

[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': TBD
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* TBD

==Resources==
* Big Data Videos [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mp4 mp4] and [http://socr.ucla.edu/docs/videos/BigData_AMS_JMM_2014.mpg mpeg]
* Slides/papers: TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Events JMM BigData Jan2014

2013-05-25T00:57:06Z

IvoDinov:

== [[SOCR_News | SOCR News & Events]]: 2014 JMM/AMS Special Session on Big-Data: Mathematical and Statistical Modeling, Tools, Services, and Training ==

[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': TBD
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Events JMM BigData Jan2014

2013-05-25T00:55:33Z

IvoDinov: /* SOCR News & Events: 2014 */

== [[SOCR_News | SOCR News & Events]]: 2014 ==

[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': TBD
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Events JMM BigData Jan2014

2013-05-25T00:55:10Z

IvoDinov: /* SOCR News & Events: 2014 */

== [[SOCR_News | SOCR News & Events]]: 2014 ==

[[Image:BigData_AMS_JMM_2014.gif|150px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': TBD
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

File:BigData AMS JMM 2014.gif

2013-05-25T00:53:49Z

IvoDinov:

File:BigData AMS JMM 2014.mpg

2013-05-25T00:47:05Z

IvoDinov:

SOCR Events JMM BigData Jan2014

2013-05-25T00:15:42Z

IvoDinov: /* SOCR News & Events: 2014 */

== [[SOCR_News | SOCR News & Events]]: 2014 ==

[[Image:SOCR_Icon_ConceptsMethods.png|150px|thumbnail|right| [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html 2014 JMM/AMS Big-Data Session] ]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': TBD
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Events JMM BigData Jan2014

2013-05-25T00:14:23Z

IvoDinov: /* Session Logistics */

== [[SOCR_News | SOCR News & Events]]: 2014 ==

[[Image:SOCR_Icon_ConceptsMethods.png|150px|thumbnail|right| 2014 JMM/AMS Big-Data Session]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* '''Room''': TBD
* '''Equipment''': Computer projector and screen. No computer/laptop, blackboard or whiteboard in session room
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm '''Paper Abstract Submission'''] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR Events JMM BigData Jan2014

2013-05-25T00:04:14Z

IvoDinov: Created page with '== SOCR News & Events: 2014 == 2014 JMM/AMS Big-Data Session ==Overview== The volume and diversi…'

== [[SOCR_News | SOCR News & Events]]: 2014 ==

[[Image:SOCR_Icon_ConceptsMethods.png|150px|thumbnail|right| 2014 JMM/AMS Big-Data Session]]

==Overview==
The volume and diversity of biomedical data is exponentially increasing with Peta bytes of imaging and genetics data acquired annually. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Scientists demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data management, data interrogation, evidence-based biomedical inference, and reproducibility of findings. Novel mathematical algorithms, statistical analyses and computational tools are necessary to cope with this avalanche of data and hardware devices.

== Organizer==
* [http://www.stat.ucla.edu/~dinov/ Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics].

==Session Logistics==
* '''Date/Time''': Thursday January 16, 2014, 1:00-3:50 PM
* '''Venue''': [http://www.bccenter.org Baltimore Convention Center], 1 W Pratt St Baltimore, MD 21201, (410) 649-7000
* [http://jointmathematicsmeetings.org/meetings/abstracts/abstract.pl?type=jmm Paper Abstract Submission] - choose session '''SS 18A''' (due date: Sept 01, 2013)

==Speakers==
* TBD

<hr>
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_JMM_BigData_Jan2014}}

SOCR News

2013-05-24T23:56:37Z

IvoDinov: /* 2014 */

== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [http://www.socr.ucla.edu/feed.rss RSS Feeds]==

==2014==
* January 16, 2014: Ivo Dinov is organizing a [[SOCR_Events_JMM_BigData_Jan2014 |special American Mathematical Society (AMS) session on Big Data: Mathematical and Statistical Modeling, Tools, Services, and Training]], at the [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html2014 Joint Mathematics Meeting (JMM), Baltimore, MD, USA].

==2013==
* June 16, 2013: Ivo Dinov and Jack Van Horn are organizing a Continuing Education Course entitled [http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3524 Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions]. This workshop is part of the [http://www.humanbrainmapping.org/OHBM2013/ 2013 Organization for Human Brain Mapping Meeting] in Seattle, Washington. Ivo Dinov is presenting [http://www.humanbrainmapping.org/files/2013MeetingFiles/Sessions/Neuroimaging%20%E2%80%98Big%20Data%E2%80%99%20Challenges%20and%20Computational%20Workflow%20Solutions.pdf The Pipeline Workflow Environment] at this workshop.
* May 20, 2013: Ivo Dinov is organizing a [http://www.loni.ucla.edu/twiki/bin/view/LONI/PL_ComputationalGenomicsWorkshop_2013 Computational Genomics Training Workshop] at UCLA. This workshop will be postponed to a future date, due to unforeseen scheduling conflicts.
* May 15-16, 2013: USCOTS 2013 Workshop: Dennis Pearl (Ohio State), Kyle Siegrist (University of Alabama) and Ivo Dinov (UCLA) are organizing a 2 day workshop [http://www.distributome.org/meetings/USCOTS_2013/ Interactive Probability Instruction], at the [http://www.causeweb.org/uscots/workshops/ USCOTS 2013 meeting]. The organizers will provide continuing education training for using the [http://www.Distributome.org Probability Distributome webapps], classroom use of the [http://www.math.uah.edu/stat Virtual Laboratories in Probability and Statistics], exploratory data analysis using the [http://www.SOCR.ucla.edu Statistics Online Computational Resource].
* April 08, 2013: Ivo Dinov is presenting the [http://www.loni.ucla.edu/twiki/pub/LONI/EpiBioS_Bioinformatics_2013/Dinov_EpiBioS_PipelineWorkflows_2013.pptx Pipeline Workflow Environment (PPTX)] at the [http://www.loni.ucla.edu/twiki/bin/view/LONI/EpiBioS_Bioinformatics_2013 Epilepsy Bioinformatics Workshop at UCLA].
* March 21, 2013: Nicolas Christou and Ivo Dinov, presented the [[SOCR_Events_LAUSD_Mar2013 |SOCR blended mathematics and statistics education resources relative to the California Common Core State Standards, LAUSD]].
* March 4-6, 2013: Ivo Dinov is presenting a paper entitled [http://www.pacificrimneuroimaging.net/wp-content/uploads/2012/11/Dinov_BigDataChallenges_2013.pdf How to Ride the Perfect Neuroimaging-Genetics-Computation Storm? Collision of Peta Bytes of Data, Thousands of Software Tools and Millions of Hardware Devices] at the [http://www.pacificrimneuroimaging.net/ New Horizons in Human Brain Imaging], Turtle Bay Resort, Oahu, Hawaii USA.
* January 23-25, 2013: [http://ccliconference.org/2013-tuesccli-pi-conference/ 2013 AAAS TUES/CCLI conference in Washington, DC]; American Association for the Advancement of Science, AAAS, and the National Science Foundation, NSF, Programs for Course, Curriculum, and Laboratory Improvement, CCLI, and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES.
** Ivo Dinov is [http://ccliconference.org/abstracts/943 presenting the SOCR resource].
** Kyle Siegrist, Dennis Pearl and Ivo Dinov are presenting [http://ccliconference.org/abstracts/1166 the Probability Distributome Project].

==2012==
* November 27, 2012: Ivo Dinov (SOCR/UCLA), Dennis Pearl (MBI/OSU) and Kyle Siegrist (UAH/VLPS) are presenting a [http://www.distributome.org/meetings/CAUSEWeb_Webinar2012/ CAUSEWeb Webinar: Hands-on Distributome Activities for Teaching Probability] (Tuesday, 2:30 PM Eastern Time).
* October 20-21, 2012: [http://www.google-melange.com/gsoc/homepage/google/gsoc2012 Google 2012 Summer of Code (GSoC'12)] [http://gsoc-wiki.osuosl.org/index.php/2012 Mentor Summit]: Dr. Dinov presented the [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR-GSoC'12 projects] and lead 2 working sessions on [https://gsoc-wiki.osuosl.org/index.php/Building,_supporting_and_funding_academic-industry_collaborations_-_ideas,_partners,_challenges_and_prospects Building, supporting and funding academic-industry collaborations - ideas, partners, challenges and prospects] and [http://gsoc-wiki.osuosl.org/index.php/JS_SciCompLib JavaScript Science Computation Library] at this event.
* October 09, 2012: Dr. Ivo Dinov consults on a PBS NOVA/WGBH [http://www.pbs.org/wgbh/nova/body/mapping-the-brain.html Interactive Mapping the Brain Webapp] providing understanding of the relationship between brain anatomy, function and physiology. This resource enables the exploration of complex connections between different brain regions, and showcases the difference between normal and abnormal brain variability.
* August 02, 2012: Ivo Dinov is presenting an invited talk entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=303516 Computational Neuroinformatics: Challenges, Methods & Tools] at the [http://www.amstat.org/meetings/jsm/2012/ 2012 JSM meeting] in San Diego, CA. Session, (207361), [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=207361 Innovations in Biomaging and the Impact of Statistics”, Session #587], Thursday, 8/2/2012, from 8:30 AM - 10:20 AM.
* July 31, 2012: Scott Kamino, Bilal Bhakhrani, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=306019 Bivariate Normal Distribution: A New SOCR Applet] at [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=208039 2012 JSM Meeting in San Diego, CA] (Tue, 7/31/2012, 10:30 AM - 12:20 PM, CC-Room 30C).
* July 13, 2012: Ivo Dinov is giving a lecture entitled [http://www.mntp.pitt.edu/Symposium/Symposium_DataProc_2012.html Multimodal Neuroimaging and Distributed Computing using the Pipeline Environment] at the 2012 [http://www.mntp.pitt.edu/ Multimodal Neuroimaging Training Program (MNTP)] at the University of Pittsburgh.
* May 2012: [http://socr.ucla.edu/htmls/ana/ SOCR Analyses] are utilized as the key statistical computing library part of the [http://pipeline.loni.ucla.edu/ Pipeline Graphical Workflow Environment]. One example is the use of the [[SOCR_EduMaterials_AnalysisActivities_MLR|SOCR Multivariate Linear Regression]] and [[SOCR_EduMaterials_AnalysesCommandLineFDR_Correction|False Discovery Rate (FDR)]] utilities for analyzing multidimensional neuroimaging data (http://ucla.in/Ie80ps).
* April 26, 2012: Ivo Dinov and Nicholas Christou are presenting a special session entitled [[SOCR_Events_NCMT_2012 |Technology-Enhanced Mathematics and Statistics Education]] at the [http://www.nctm.org/conferences/content.aspx?id=29461 2012 National Council of Teachers of Mathematics (NCMT) Meeting] in Philadelphia, Pennsylvania (April 25-28, 2012).
* April 17, 2012: Jack Van Horn, Ivo Dinov, Paul Eggert and Arthur Toga organized a workshop [http://pipeline.loni.ucla.edu/training/bigdata_2012/ Big Data Analysis Using the LONI Pipeline].
* March 2012: SOCR Projects are part of GSoC 2012: [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR is one of the high-profile projects included in the 2012 Google Summer of Code (GSoC)]. As part of this program, SOCR is looking for highly-motivated, technologically-savvy and result-oriented students to work on [[Available_SOCR_Development_Projects|expanding the large suite of SOCR computational libraries, designing and implementing novel open-source HTML5/JavaScript/JQuery webapps and web-resources for improving science education]].
* March 16-17, 2012: Ivo Dinov is organizing a [http://pipeline.loni.ucla.edu/training/cchmc2012/ Pipeline Training Workshop] at the University of Cincinnati and the Cincinnati Children’s Hospital Medical Center (CCHMC), Cincinnati, OH.

==2011==
* September 2011: SOCR Applications in Human Brain Mapping. [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract Human brain mapping investigators use SOCR resources and tools to investigate frontal, temporal, and ventricular dysmorphology in schizophrenia, putamen/pallidum enlargements, medication exposure in early studies, and genetic predisposition for schizophrenia]. This report published in the [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract HBM Journal] reveals the role of specific genetic or environmental risk factors toward altered brain morphology in schizophrenia.
* Sept. 17, 2011: Ivo Dinov is interviewed by [http://www.dailybruin.com/index.php/section/on_the_record Daily Bruin "On The Record"] about [http://www.dailybruin.com/index.php/multimedia/43623 student loans and the rate of increase of the cost of college tuition].
* August 12, 2011: Scott Kamino, Lance Perry and Mat Swatek submitted a [http://www.youtube-nocookie.com/embed/kVhorHV35To video entitled "To Stat, or not to Stat?"] responding to the [http://www.amstat.org/youtube/ ASA contest to promote the practice and profession of statistics].
* August 03, 2011: Dave Zes, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2011/onlineprogram/AbstractDetails.cfm?abstractid=302579 Spatial Statistics and Cartography Using SOCR (Abstract #302579)] in [http://www.amstat.org/meetings/jsm/2011/onlineprogram/MainSearchResults.cfm?SponsorID=206 Session # 524 (Wed, 8/3/2011, 11:20 AM)] at the [http://www.amstat.org/meetings/jsm/2011 Joint Statistical Meeting] in Miami Beach, Florida, July 30–August 4, 2011.
* July 15, 2011: Dr. Dinov was interviewed and quoted in an article in the Wall Street Journal about [http://blogs.wsj.com/numbersguy/happy-square-prime-sandwich-day-1072/ the proliferation of days designated to mark certain numerical properties - Happy Square-Prime Sandwich Day].
* June 24-25, 2011: Ivo Dinov is presenting [http://socr.ucla.edu/Ed/UC_OSI/ SOCR resource utilization in the University of California - Online Statistics Instruction (UC-OSI)] program. [http://www.ucop.edu UCOP] [http://groups.ischool.berkeley.edu/onlineeducation/ OIPP] [http://groups.ischool.berkeley.edu/onlineeducation/project-participants/course-design-conference Meeting, Berkeley, California]. See the video on [http://www.youtube.com/watch?v=O9aed06zCF0&list=PL5AB77EEBD0A8F7F9&index=6 YouTube].
* April 11-14, 2011: [http://www.healthgrid.org/news/index.php?id=31 outGRID workshop, Vilnius, Lithuania]. Ivo Dinov is presenting a paper entitled [http://www.egi.eu/indico/getFile.py/access?contribId=114&sessionId=12&resId=2&materialId=slides&confId=207 Visual Informatics and Computational Genomics using the Graphical Pipeline Environment].
* January 26-28, 2011: Ivo Dinov is [http://ccliconference.org/abstracts/663 presenting the SOCR resource] at the [http://www.ccliconference.com/ 2011 AAAS TUES/CCLI conference in Washington, DC] (American Association for the Advancement of Science, AAAS, and the National Science Foundation (NSF) Programs for Course, Curriculum, and Laboratory Improvement (CCLI) and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES).
* January 07, 2011: [http://distributome.org/ Distributome-An Interactive Web-based Resource for Probability Distributions]: Kyle Siegrist, Ivo Dinov, and Dennis Pearl will present the [http://www.mathaware.org/meetings/national/jmm/2125_program_friday.html State of the Probability Distributome Project], 2011 JMM meeting, NSF Division of Undergraduate Education, Napoleon A1-A3, 3rd Floor, Sheraton, 2:00-4:00PM.

==2010==
* December 04-05, 2010: [http://www.cmc-math.org/activities/north_program.html 2010 CMC-North Annual Asilomar Mathematics Conference]. Ivo Dinov will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* November 18, 2012: Dr. Dinov presented a seminar entitled [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=showevent&ncmd=calmonth&cal=cal2&id=1287690501-25406-1&ncals=&y=2010&m=11&d=18&token=&sb=0&cf=cal&lc=calmonth&swe=1&set=1&sa=0&sort=e,m,t&ws=0&sib=1&de=1&tf=0 Computational Neuroinformatics: Challenges, Methods, & Tools], UCLA [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=calmonth&ncmd=startup&cal=cal2 Computer Science Seminar Series].
* November 05-06, 2010: [http://www.cmc-math.org/activities/south_conference.html 2010 CMC-South Annual Palm Springs Mathematics Conference]. Ivo Dinov and Nicolas Christou will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* September 2010: [http://magazine.amstat.org/blog/2010/09/01/hands-on/ The SOCR MotionCharts Project receives an honorable mention in the 2010 ASA Hands-On Statistics Activity Competition].
* September 2010: In a High Speed Network partnership with K-12 educators, the SOCR Probability and Statistics [[EBook]] is posted on the [http://www.k12hsn.org/calaxy/wikis.php/calaxy/Probability_and_Statistics_EBook K12HSN network and made freely and openly available to the entire K-12 educational community].
* August 13, 2010, [[SOCR_Events_Aug2010 | SOCR AP Statistics Continuing Education Workshop]] at UCLA.
* July 31 - August 05, 2010, [http://www.amstat.org/meetings/jsm/2010/ JSM 2010 Conference], Vancouver, BC, Canada, July 31 – August 5, 2010:
** Juana Sanchez, Nicolas Christou and Ivo Dinov will present [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR CLT Applet and Activity]], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=307049 Abstract #307049], Tue, 8/3/2010, 2:00 PM.
** Nicolas Christou and Ivo Dinov will present [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Enhancing the Teaching of Statistics: Analysis of Spatial Data Using SOCR and R], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Abstract #308613], Wed, 8/4/2010, 8:30 AM.
* July 20-23, 2010 [http://sloanconsortium.org/et4online Sloan Consortium/MERLOT symposium] (Fairmont Hotel in San Jose, CA). Nicolas Christou, Ryan Rosario and Ivo Dinov will present a session entitled [[SOCR_Events_SloanMerlot_2010 | Technology-Enhanced Probability and Statistics Education Using the Statistics Online Computational Resource]].
* June 09, 2010: SOCR V2.6 receives the [http://www.softpedia.com/progClean/Statistics-Online-Computational-Resource-Clean-161967.html Softpedia "100% Free & Clean" award]. This [http://www.socr.ucla.edu/htmls/SOCR_Recognitions.html certifies that all SOCR tools] are free of all forms of malware, including spyware, viruses, trojans and backdoors, and can be used and installed with no concern by any computer user.
* May 14, 2010: Dr. Dinov was interviewed and quoted in an article in the [http://blogs.wsj.com/numbersguy/overblown-notions-about-names-940/ Wall Street Journal about the concept of implicit egotism, or people’s unconscious attraction to things or people that resemble themselves — as manifested by name similarity].
* May 11, 2010: [[SOCR_Events_CAUSE_TL_Spring2010 | CAUSE SOCR Teaching and Learning Webinar]].
* April 19, 2010: [[SOCR_Events_FTO_Obesity_Neuroimaging2010 |The largest neuroimaging study to-date identifies the relations between obesity gene (FTO) and brain tissue loss using the SOCR computational libraries]].
* March 25, 2010: We upgraded the [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR user web-statistics mechanism]. Now we provide anonymous access to dynamic and complete statistics on the web-users of the main [http://www.SOCR.ucla.edu SOCR server]. The new [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR web-statistics architecture] allows anyone to see anytime the locations and types of the last 500 SOCR users. Each user is uniquely counter daily, irrespective of usage-time or number of SOCR resources they used. Other [[SOCR_Servers | SOCR servers]] have separate tracking mechanisms.
* March 17, 2010: [http://www.scientistlive.com/European-Science-News/Medical/Brain_abnormalities_in_children_exposed_to_meth/24237/ Brain abnormalities in children exposed to meth] - a news-brief on a recent [http://www.jneurosci.org/cgi/content/abstract/30/11/3876 article on Prenatal Methamphetamine use], co-authored by Dr. Dinov, is distributed by the National Institutes of Health.
* January 12, 2010: NSF/DUE PI Meeting at the [http://www.ams.org/amsmtgs/2124_intro.html 2010 JMM Meeting in San Francisco, CA]. Dr. Dinov [[SOCR_Events_JMM_Jan2010 |presented the SOCR Resource]].

==2009==
* October 2009: A new major upgrade of [[SOCR_EduMaterials_AnalysesActivities |SOCR Analyses]] is released that fixed the appearance of the tabs on all SOCR analysis applets. The new version only shows the tabs that are appropriate for the specific SOCR Analysis chosen by the user. This upgrade of Analyses resolves this inconsistency and makes the navigation to data-input, variable-mapping and result-interpretation much more intuitive and user-friendly.
* September 2009: A new [http://forums.stat.ucla.edu/socr SOCR forum is introduced]. Users, instructors, students and developers may use this forum to post questions, learn about various SOCR datasets, tools, learning materials, and contribute to the SOCR knowledgebase.
* August 15-23, 2009 [http://www.statssa.gov.za/isi2009/index.aspx SOCR Organized Events at the 2009 International Statistical Institute Meeting]
** August 16, 2009, [[SOCR_Events_ISIW_Aug2009 | SOCR Workshop at 2009 ISI Meeting]].
** August 17, 2009, [[SOCR_Events_ISIS_Aug2009 | A special session entitled ''Interactive, Data-Driven and Technology-Enhanced Approaches for Probability and Statistics Education'']], organized by Ivo Dinov and Nicolas Christou at 2009 ISI Meeting.
* August 10, 2009: The [http://www.dailybruin.com/index.php/article/2009/08/ucla-professors-host-workshop-open-source-projects Daily Bruin published an article about SOCR], summarizing [http://wiki.stat.ucla.edu/socr/uploads/9/93/DailyBruin_UCLA_SOCR_Aug2009.pdf the project scope and interviewing Ivo Dinov and Nicolas Christou].
* August 10-12, 2009, [[SOCR_Events_Aug2009 | SOCR Training & Development Workshop]] at UCLA.
* August 03, 2009, [http://www.amstat.org/meetings/jsm/2009/onlineprogram/index.cfm?fuseaction=activity_details&activityid=164&sessionid=204418 Confidence Intervals using SOCR]. Nicolas Christou and Ivo Dinov are presenting SOCR at the [http://www.amstat.org/meetings/jsm/2009/ 2009 JSM Meeting in Washington, DC].
* June 27, 2009, Nicolas Christou [http://www.causeweb.org/uscots/uscots09/program/posters.pdf presented a poster (page 19)] at the [http://www.causeweb.org/uscots/uscots09/ 2009 USCOTS conference at OSU].
* April 16, 2009, SOCR Sponsored [http://cts.stat.ucla.edu/seminars/ Teaching Statistics Seminar] by [http://www.stat.tamu.edu/~west/ Webster West], 4-5 PM, Math Science 5137.
* January 05-08, 2009: Ivo Dinov will give 2 talks and present a poster at [http://www.ams.org/amsmtgs/2110_program.html 2009 Joint AMS/MAA Meeting in Washington, DC], January 05-08, 2009.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf Interactive, Data-Driven and Technology-Enhanced Approach for Probability and Statistics Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:MAACPE1 Demos and Strategies with Technology that Enhance Teaching and Learning Mathematics], Tuesday, January 06, 2009, 9:20AM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf 1046-E1-26], [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.pdf PDF Slides].
** [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS Statistics Online Computational Resource for Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS MAA Poster Session on Projects Supported by the NSF Division of Undergraduate Education], Tuesday, January 06, 2009, 2 PM, Blue Room and Foyer, Omni Shoreham Hotel.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf Integrated, Multidisciplinary and Technology-Enhanced Science Education: The Next Frontier], at a [http://www.ams.org/amsmtgs/2110_program_wednesday.html#2110:AMSCP28 Mathematics Education session], Wednesday, January 07, 2009, 1:15PM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf 1046-97-25], [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.pdf PDF Slides].

== 2008 ==
* November 17, 2008: [[SOCR_Overview_2008 | SOCR Presentation]] at [http://courses.stat.ucla.edu/index.php?term=08F&course=6637912&lecture=66379120 Statistics 495A] (Fall 2008).
* October 17, 2008: [[SOCR_Events_UCCP2008 | SOCR presentation at the UCCP/UCLA CDI meeting]] at at [http://www.cdi.ucla.edu/ UCLA CDI].
* September 27, 2008: Ivo Dinov is [[SOCR_Events_SMC2008 | presenting the SOCR resources]] at a continuing education event at Santa Monica College.
* September 17, 2008: The complete [[SOCR]] source code, v.2.5, was publicly released via the [http://socr.googlecode.com SOCR Google Code project page]. This new release contains the latest version of the [[SOCR]] libraries and all additional resources needed to revise, compile, package and deploy the entire [[SOCR]] resource on the Internet.
* August 14-15, 2008: Ivo Dinov is [[SOCR_Events_CCLI2008 | presenting the SOCR resource]] at the [http://www.ccliconference.com/ 2008 CCLI AAAS conference in Washington, DC].
* August 9, 2008: Nicolas Christou will present a seminar entitled [http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09#1090 Law of Large Numbers: The Theory, Applications and Technology-based Education], at the [http://mic08.merlot.org/program 2008 MERLOT International Conference] ([http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09 1:30-2:00 PM in the Conrad A Room]).
* August 2008: SOCR is releasing a new [http://www.esurveyspro.com/Survey.aspx?id=79ba4c38-b7d0-4530-aa00-12fdd32b6609 electronic polling survey to solicit open and anonymous community feedback on existing SOCR resources and recommendations for development of future SOCR materials and tools].
* August 2008, [http://www.amstat.org/meetings/jsm/2008 2009 Joint Statistics Meeting]
** Thu, 8/7/08, 10:30 AM - 12:20, Nicolas Christou is Chairing a session entitled [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=519&sessionid=203496 The Internet, Telecommunications, and Migration]
** Wed, 8/06/08, 2:00 PM - 3:50 PM, Nicolas Christou and Ivo Dinov are presenting [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=301649 Applications of Statistics in Finance Using the Statistics Online Computational Resource (SOCR)] in a special session on [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=451&sessionid=203500 Portfolio Analysis, Exchange Rates, Microstructure, and GARCH Models]
* July 29, 2008: Ivo Dinov will give a hands-on demonstration entitled [[SOCR_Events_July2008 | Using SOCR to Motivate Simulation Experiments in Middle and High School]] at the [http://censusatschool-california.stat.ucla.edu/ Second CensusAtSchool International Workshop], [http://censusatschool-california.stat.ucla.edu/ 3:15-4:00 PM, CCLIC Lab].
* July 07, 2008: [http://www.math.ucla.edu/~lvese Luminita Vese] and [http://www.stat.ucla.edu/~dinov Ivo Dinov] are co-organizing a [http://www.siam.org/meetings/is08/ SIAM Imaging Science] session on [http://meetings.siam.org/program.cfm?CONFCODE=IS08 Computational Science and Biology: The Challenges, Data, Methods and Tools] (MS4), [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6978 Part I] and [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6979 Part II].
* June 20, 2008: Nicolas Christou will present a seminar entitled [http://trc.ucdavis.edu/uc21st/concurrent.html Web-based, Data-driven Probability and Statistics Education], at the [http://trc.ucdavis.edu/uc21st/ UC21st Century - Teaching, Learning and Technology: Past, Present and Future] Conference ([http://trc.ucdavis.edu/uc21st/schedule.html 11:45AM - 12:30PM]). Video ([http://uocatdavis.wmod.llnwd.net/a2636/e1/TLTC/TLTC_Nicholas_Christou.wmv WMP], [http://webcast.ucdavis.edu/TLTC/ FLASH]) and [http://trc.ucdavis.edu/uc21st/proceedings/christou_dinov_uc21st.ppt PPT slides] ara available online.
* June 05, 2008: [[SOCR_Events_EOY2008 | SOCR End-of-Year Event]].
* [http://cts.stat.ucla.edu/seminars 2008 SOCR/CTS '''Seminars''']:
** Thursday May 29: [http://www.stat.berkeley.edu/~stark/ Phil Stark], [http://www.stat.berkeley.edu/ Department of Statistics, UC Berkeley], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, May 15: [http://www.stat.ucla.edu/~esfandia Mahtash Esfandiari] and Hai Nguyen, Dept. of Statisitics, UCLA
** Thursday, May 1: [http://www.stat.osu.edu/~dkp/ Dennis Pearl], [http://www.stat.osu.edu/ Dept. of Statistics, The Ohio State University]. "The Statistical Buffet" course redesign at OSU, [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, April 24: [http://mathequity.terc.edu/gw/html/Andeepage.html Andee Rubin], [http://www.terc.edu/ TERC], [http://cts.stat.ucla.edu/seminars/rubin.html Software as a Learning Context: the Case of TinkerPlots and Statistical Reasoning], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday April 10: [http://www.maths.qut.edu.au/profiles/macgillivray/ Helen MacGillvray], Queensland University of Technology, Australia, [http://cts.stat.ucla.edu/seminars/macgillvray.html Roles of Assessment in Learning of Statistics and Mathematics], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
* May 19, 2008: Dr. [http://www.stat.ucla.edu/~nchristo Nicolas Christou] will be awarded the prestigious [http://www.oid.ucla.edu/edtech/bpcaward Brian P. Copenhaver Award for Innovation in Teaching with Technology]. [[SOCR_Awards_Christou_BC2008 | More information about this event and Nicolas' contributions is available here]]. Nicolas Christou [http://www.oid.ucla.edu/edtech/bpcaward/2008-video-christou (video-stream) Interview] and [http://www.today.ucla.edu/campus/080520_online_stats-aid/ UCLA Today] article.
* May 05, 2008: Ivo Dinov will give a [http://www.amstat.org ASA]/[http://www.amstat.org/education/gaise/ GAISE] [[SOCR_Events_May2008 | Webinar for middle school teachers in various science and quantitative disciplines]].
* January 17-19, 2008, [http://www.hicstatistics.org/program_stats.htm 2008 Hawaii International Conference on Statistics, Mathematics and Related Fields], Honolulu, Hawaii:
** Nicolas Christou and Ivo Dinov will present [http://www.hicstatistics.org/STATS2008.pdf Statistics Online Computational Resource for Education: www.socr.ucla.edu];
** Priscilla Chui, Nicolas Christou and Ivo Dinov will present a talk on [http://www.hicstatistics.org/STATS2008.pdf Numbers and Sense].
* January 6-9, 2008: [http://www.ams.org/amsmtgs/2109_program.html Joint Mathematics Meetings (AMS/MAA), San Diego, CA].
** Annie Che, Nicolas Christou, Jenny Cui and Ivo Dinov will present a poster entitled [http://www.ams.org/amsmtgs/2109_program_monday.html SOCR Analyses: a free Internet-based Statistical Analysis Toolkit], on 01/07/08, 2-4 PM, as part of the [http://www.ams.org/amsmtgs/2109_program_monday.html NSF Division of Undergraduate Education] session.
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-P1-707) [http://www.ams.org/amsmtgs/2109_program_wednesday.html#2109:MAACPP2 Interactive Web-Based Probability Distribution Mathlets: www.SOCR.ucla.edu] at the [http://www.ams.org/amsmtgs/2109_abstracts/1035-p1-707.pdf MAA Session Mathlets and Web Resources for Mathematics and Statistics Education], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 1:20 PM, Wednesday Jan. 9, 2008].
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-62-1789) [http://www.ams.org/amsmtgs/2109_abstracts/1035-62-1789.pdf Generating Functions: Web-based SOCR Applets and Computational Library Interfaces], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 3:45 PM on Jan 09, 2008].

== 2007 ==
* Dec. 19. 2007, SOCR was added as a [http://apps.facebook.com/socrapp/ Facebook Application] and made available as a tool/plug-in to all FaceBook Users. To add the SOCR App to your Facebook page follow these steps:
** [http://www.facebook.com Login your Facebook account (or create one)]
** [http://apps.facebook.com/socrapp Visit the SOCR App home page]
** [http://www.facebook.com/apps/application.php?api_key=f7ba27416638bfa874514da430932a04 Add the SOCR App to your Applications by selecting '''add this application button''']
* Dec. 07, 2007, Dr. Dinov was interviewed and quoted in [http://wiki.stat.ucla.edu/socr/uploads/f/f9/WSJ_12_07_2007.pdf An article] in the [http://online.wsj.com/article/SB119698695198016514.html Wall Street Journal] about a paper by Leif Nelson (NYU) and Joseph Simmons (Yale) entitled [http://papers.ssrn.com/sol3/papers.cfm?abstract_id=946249 Moniker Maladies: When Names Sabotage Success]. In this article the authors present experimental designs and data to support hypotheses that ''unconscious behavior can insidiously undermine conscious pursuits''.
* Sept. 24, 2007: The [http://www.NSF.gov National Science Foundation (NSF)] extended the funding for the UCLA [[SOCR | Statistics Online Computational Resource (SOCR)]] for another 4 years (2007-2011). This is a great accomplishment for the [http://socr.ucla.edu/htmls/SOCR_Team.html SOCR team] and recognition of the SOCR Resource achievements since 2002. In the next 4 years, SOCR will design, test, validate, and disseminate 1) tools (applets, demos, GUI interfaces), 2) educational materials (activities, class notes, tutorials), and 3) resources (Statistics Online Computational Resource Wiki, consulting, workshops, etc.) More information is available [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0716055 online].
* Aug. 22-29, 2007: SOCR [http://wiki.stat.ucla.edu/socr/uploads/c/c4/SOCR_Abstract_Lisbon_ISI2007.pdf sampling and simulation resources] are going to be presented as an invited talk (Nicolas Christou) at the 2007 [http://www.isi2007.com.pt International Statistics Institute meeting (ISI)], Lisbon, Portugal, ([http://wiki.stat.ucla.edu/socr/uploads/7/7b/Christou_Dinov_Sanchez_ISI2007.pdf PDF Slides])
* Aug. 08-10, 2007: Nicolas Christou is invited to present the [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR Central Limit Theorem Applet and hands-on activity]] at the [http://mic07.merlot.org/program/index.php?sort=date&date=2007-08-09#904 2007 Multimedia Educational Resource for Learning and Online Teaching Conference], [http://conference.merlot.org/2007/ MERLOT], New Orleans, LA. ([http://wiki.stat.ucla.edu/socr/uploads/2/21/Christou_MERLOT_CLT_2007.pdf Talk PDF], [http://conference.merlot.org/2007/Thursday/merlot_clt_2007.ppt Talk PPT])
* Aug. 06-08, 2007: [[SOCR_Events_Aug2007 | SOCR/CAUSE Workshop]] at UCLA
* Aug. 01, 2007: [http://www.amstat.org/meetings/jsm/2007/ JSM] - Nicolas Christou will present [http://www.amstat.org/meetings/jsm/2007/onlineprogram/index.cfm?fuseaction=activity_details&activityid=465&sessionid=202134 Enhancing the Teaching of Statistics with Technology Using the Statistics Online Computational Resource (SOCR)] in Session 466, at 2:00 PM at the Joint Statistical Meetings in Salt Lake City, Utah, July 29-August 2, 2007 ([http://wiki.stat.ucla.edu/socr/uploads/5/52/Christou_Talk_JSM_Aug2007.pdf Abstract #309845], PDF).
* June 01 and June 08, 2007 (4PM): [http://www.socr.ucla.edu/docs/SOCR_talks_060107.html The State of the Statistics Online Computational Resources], Ivo Dinov will present at the [http://cts.stat.ucla.edu/seminars/ UCLA Statistics Teaching Seminar].
* May 21-22, 2007, [http://pages.stern.nyu.edu/~gsimon/ Gary Simon], [http://pages.stern.nyu.edu/ NYU Stern], will visit SOCR and give a [http://seminars.stat.ucla.edu/ seminar talk] (TBD).
* May 17-19, 2007: SOCR will be presented at an [http://wiki.stat.ucla.edu/socr/index.php/USCOTS_2007_Program_SOCR invited breakout session] of the [http://www.causeweb.org/uscots USCOTS 2007] (Juana Sanchez, Nicolas Christou and Ivo Dinov).
* Mar. 07, 2007. [http://wiki.stat.ucla.edu/socr/uploads/3/3c/TheNumbersGuy_WSJ_03_07_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117338464249431351-0ghR_0Jef5ubo6ZLbYIVoePRxrA_20070408.html?mod=tff_main_tff_top Wall Street Journal] discussing probability estimations quotes Ivo Dinov.
* Feb. 27, 2007. [http://wiki.stat.ucla.edu/socr/uploads/8/88/TheNumbersGuy_WSJ_02_23_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117207018272214963-M0nkHhnjRCR5_SIvOWHlNw2sCeE_20070324.html?mod=tff_main_tff_top Wall Street Journal] quotes the SOCR PI, Dr. Dinov.
* Jan. 08, 2007. [[SOCR]] was included in the [http://www.rsscse.org.uk/news/rssnewseducation.asp Royal Statistical Society News Brief]
* Jan. 05-08, 2007: [[SOCR]] Resource is presented at the [http://www.ams.org/amsmtgs/2098_intro.html Joint AMS/MAA meeting] in New Orleans, LA.
** Annie Che will present the [http://www.ams.org/amsmtgs/2098_progfull.html SOCR Analyses], Saturday January 6, 2007, 2:00 PM
** Ivo Dinov will give a talk on [http://www.ams.org/amsmtgs/2098_abstracts/1023-62-1.pdf SOCR Utilization and Assessment], Monday January 8, 2007, 2:45 PM, [http://www.ams.org/amsmtgs/2098_program_monday.html#2098:AMSCP28 AMS Session on Probability and Statistics]

== 2006 ==
* Ivo Dinov presented two talks at the 2006 American Medical Informatics Association ([http://www.amia.org AMIA]) [http://www.amia.org/meetings/f06/ Annual Meeting, Washington, DC]
** [http://www.amia.org/meetings/f06/showdoc.asp?DID=401 Biomedical Imaging Ontologies: Design Principles Enabling Interoperability for Imaging Applications, Tools, and Data], Nov. 11, 2006
** [http://www.amia.org/meetings/f06/showeve.asp?EID=S14 Seeing Biomedicine: New Opportunities and Research Challenges at the Intersection of Biomedical Imaging and Informatics], Nov. 13, 2006
* Maria Pilar Munoz, Dept. of Statistics, North Carolina State University, visited SOCR and gave a talk on [http://seminars.stat.ucla.edu/ ''Formal Assessment of a Web-based Tool Designed to Improve Student Performance in Statistics''], Tuesday, November 21, 2006, 3-4 pm; 6627 Math Sciences Bldg. Seminar#: 297.
* Juana Sanchez presented [http://www.socr.ucla.edu/docs/Sanchez_SOCR_JSM_2006.pdf SOCR Usage and Validation] at the [http://www.amstat.org/meetings/jsm/2006/onlineprogram/index.cfm?fuseaction=activity_details&activityid=148&sessionid=201662 Section on Statistical Education] of the [http://www.amstat.org/meetings/jsm/2006 Joint Statistics Meeting], August 2006, Seattle, WA.
* Juana Sanchez presented various SOCR Activities at the [http://www.maths.otago.ac.nz/icots7 ICOTS7], July 2006.
* Nicolas Christou gave a SOCR Colloquium Talk at the department of [http://www.mas.ucy.ac.cy/ Mathematics & Statistics, University of Cyprus], June 2006.
* [http://www.loni.ucla.edu/CCB/training.aspx?id=2912 2006 SIAM Symposia on Brain Segmentation], May 15-17, 2006 in Minneapolis, Minnesota, USA. Ivo Dinov organized a symposium at the [http://www.siam.org/meetings/is06 2006 SIAM Conference on Imaging Science] entitled ''Mathematical Methods and Tools for Volumetric Brain Segmentation''.
* Ivo Dinov presented the SOCR Resource at the [http://www.ams.org/amsmtgs/2095_intro.html Joint AMS/MAA joint Meeting], San Antonio, TX, January 2006

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_News}}

SOCR News

2013-05-24T23:56:20Z

IvoDinov:

== [[SOCR_NewsEventsAnnouncements | SOCR News, Events & Announcements]] - News & [http://www.socr.ucla.edu/feed.rss RSS Feeds]==

==2014==
* January 16, 2014: Ivo Dinov is organizing a [[[[SOCR_Events_JMM_BigData_Jan2014 | |special American Mathematical Society (AMS) session on Big Data: Mathematical and Statistical Modeling, Tools, Services, and Training]], at the [http://jointmathematicsmeetings.org/meetings/national/jmm2014/2160_program_ss18.html2014 Joint Mathematics Meeting (JMM), Baltimore, MD, USA].

==2013==
* June 16, 2013: Ivo Dinov and Jack Van Horn are organizing a Continuing Education Course entitled [http://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3524 Neuroimaging ‘Big Data’ Challenges and Computational Workflow Solutions]. This workshop is part of the [http://www.humanbrainmapping.org/OHBM2013/ 2013 Organization for Human Brain Mapping Meeting] in Seattle, Washington. Ivo Dinov is presenting [http://www.humanbrainmapping.org/files/2013MeetingFiles/Sessions/Neuroimaging%20%E2%80%98Big%20Data%E2%80%99%20Challenges%20and%20Computational%20Workflow%20Solutions.pdf The Pipeline Workflow Environment] at this workshop.
* May 20, 2013: Ivo Dinov is organizing a [http://www.loni.ucla.edu/twiki/bin/view/LONI/PL_ComputationalGenomicsWorkshop_2013 Computational Genomics Training Workshop] at UCLA. This workshop will be postponed to a future date, due to unforeseen scheduling conflicts.
* May 15-16, 2013: USCOTS 2013 Workshop: Dennis Pearl (Ohio State), Kyle Siegrist (University of Alabama) and Ivo Dinov (UCLA) are organizing a 2 day workshop [http://www.distributome.org/meetings/USCOTS_2013/ Interactive Probability Instruction], at the [http://www.causeweb.org/uscots/workshops/ USCOTS 2013 meeting]. The organizers will provide continuing education training for using the [http://www.Distributome.org Probability Distributome webapps], classroom use of the [http://www.math.uah.edu/stat Virtual Laboratories in Probability and Statistics], exploratory data analysis using the [http://www.SOCR.ucla.edu Statistics Online Computational Resource].
* April 08, 2013: Ivo Dinov is presenting the [http://www.loni.ucla.edu/twiki/pub/LONI/EpiBioS_Bioinformatics_2013/Dinov_EpiBioS_PipelineWorkflows_2013.pptx Pipeline Workflow Environment (PPTX)] at the [http://www.loni.ucla.edu/twiki/bin/view/LONI/EpiBioS_Bioinformatics_2013 Epilepsy Bioinformatics Workshop at UCLA].
* March 21, 2013: Nicolas Christou and Ivo Dinov, presented the [[SOCR_Events_LAUSD_Mar2013 |SOCR blended mathematics and statistics education resources relative to the California Common Core State Standards, LAUSD]].
* March 4-6, 2013: Ivo Dinov is presenting a paper entitled [http://www.pacificrimneuroimaging.net/wp-content/uploads/2012/11/Dinov_BigDataChallenges_2013.pdf How to Ride the Perfect Neuroimaging-Genetics-Computation Storm? Collision of Peta Bytes of Data, Thousands of Software Tools and Millions of Hardware Devices] at the [http://www.pacificrimneuroimaging.net/ New Horizons in Human Brain Imaging], Turtle Bay Resort, Oahu, Hawaii USA.
* January 23-25, 2013: [http://ccliconference.org/2013-tuesccli-pi-conference/ 2013 AAAS TUES/CCLI conference in Washington, DC]; American Association for the Advancement of Science, AAAS, and the National Science Foundation, NSF, Programs for Course, Curriculum, and Laboratory Improvement, CCLI, and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES.
** Ivo Dinov is [http://ccliconference.org/abstracts/943 presenting the SOCR resource].
** Kyle Siegrist, Dennis Pearl and Ivo Dinov are presenting [http://ccliconference.org/abstracts/1166 the Probability Distributome Project].

==2012==
* November 27, 2012: Ivo Dinov (SOCR/UCLA), Dennis Pearl (MBI/OSU) and Kyle Siegrist (UAH/VLPS) are presenting a [http://www.distributome.org/meetings/CAUSEWeb_Webinar2012/ CAUSEWeb Webinar: Hands-on Distributome Activities for Teaching Probability] (Tuesday, 2:30 PM Eastern Time).
* October 20-21, 2012: [http://www.google-melange.com/gsoc/homepage/google/gsoc2012 Google 2012 Summer of Code (GSoC'12)] [http://gsoc-wiki.osuosl.org/index.php/2012 Mentor Summit]: Dr. Dinov presented the [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR-GSoC'12 projects] and lead 2 working sessions on [https://gsoc-wiki.osuosl.org/index.php/Building,_supporting_and_funding_academic-industry_collaborations_-_ideas,_partners,_challenges_and_prospects Building, supporting and funding academic-industry collaborations - ideas, partners, challenges and prospects] and [http://gsoc-wiki.osuosl.org/index.php/JS_SciCompLib JavaScript Science Computation Library] at this event.
* October 09, 2012: Dr. Ivo Dinov consults on a PBS NOVA/WGBH [http://www.pbs.org/wgbh/nova/body/mapping-the-brain.html Interactive Mapping the Brain Webapp] providing understanding of the relationship between brain anatomy, function and physiology. This resource enables the exploration of complex connections between different brain regions, and showcases the difference between normal and abnormal brain variability.
* August 02, 2012: Ivo Dinov is presenting an invited talk entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=303516 Computational Neuroinformatics: Challenges, Methods & Tools] at the [http://www.amstat.org/meetings/jsm/2012/ 2012 JSM meeting] in San Diego, CA. Session, (207361), [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=207361 Innovations in Biomaging and the Impact of Statistics”, Session #587], Thursday, 8/2/2012, from 8:30 AM - 10:20 AM.
* July 31, 2012: Scott Kamino, Bilal Bhakhrani, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2012/onlineprogram/AbstractDetails.cfm?abstractid=306019 Bivariate Normal Distribution: A New SOCR Applet] at [http://www.amstat.org/meetings/jsm/2012/onlineprogram/ActivityDetails.cfm?SessionID=208039 2012 JSM Meeting in San Diego, CA] (Tue, 7/31/2012, 10:30 AM - 12:20 PM, CC-Room 30C).
* July 13, 2012: Ivo Dinov is giving a lecture entitled [http://www.mntp.pitt.edu/Symposium/Symposium_DataProc_2012.html Multimodal Neuroimaging and Distributed Computing using the Pipeline Environment] at the 2012 [http://www.mntp.pitt.edu/ Multimodal Neuroimaging Training Program (MNTP)] at the University of Pittsburgh.
* May 2012: [http://socr.ucla.edu/htmls/ana/ SOCR Analyses] are utilized as the key statistical computing library part of the [http://pipeline.loni.ucla.edu/ Pipeline Graphical Workflow Environment]. One example is the use of the [[SOCR_EduMaterials_AnalysisActivities_MLR|SOCR Multivariate Linear Regression]] and [[SOCR_EduMaterials_AnalysesCommandLineFDR_Correction|False Discovery Rate (FDR)]] utilities for analyzing multidimensional neuroimaging data (http://ucla.in/Ie80ps).
* April 26, 2012: Ivo Dinov and Nicholas Christou are presenting a special session entitled [[SOCR_Events_NCMT_2012 |Technology-Enhanced Mathematics and Statistics Education]] at the [http://www.nctm.org/conferences/content.aspx?id=29461 2012 National Council of Teachers of Mathematics (NCMT) Meeting] in Philadelphia, Pennsylvania (April 25-28, 2012).
* April 17, 2012: Jack Van Horn, Ivo Dinov, Paul Eggert and Arthur Toga organized a workshop [http://pipeline.loni.ucla.edu/training/bigdata_2012/ Big Data Analysis Using the LONI Pipeline].
* March 2012: SOCR Projects are part of GSoC 2012: [http://www.google-melange.com/gsoc/org/google/gsoc2012/socr SOCR is one of the high-profile projects included in the 2012 Google Summer of Code (GSoC)]. As part of this program, SOCR is looking for highly-motivated, technologically-savvy and result-oriented students to work on [[Available_SOCR_Development_Projects|expanding the large suite of SOCR computational libraries, designing and implementing novel open-source HTML5/JavaScript/JQuery webapps and web-resources for improving science education]].
* March 16-17, 2012: Ivo Dinov is organizing a [http://pipeline.loni.ucla.edu/training/cchmc2012/ Pipeline Training Workshop] at the University of Cincinnati and the Cincinnati Children’s Hospital Medical Center (CCHMC), Cincinnati, OH.

==2011==
* September 2011: SOCR Applications in Human Brain Mapping. [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract Human brain mapping investigators use SOCR resources and tools to investigate frontal, temporal, and ventricular dysmorphology in schizophrenia, putamen/pallidum enlargements, medication exposure in early studies, and genetic predisposition for schizophrenia]. This report published in the [http://onlinelibrary.wiley.com/doi/10.1002/hbm.21349/abstract HBM Journal] reveals the role of specific genetic or environmental risk factors toward altered brain morphology in schizophrenia.
* Sept. 17, 2011: Ivo Dinov is interviewed by [http://www.dailybruin.com/index.php/section/on_the_record Daily Bruin "On The Record"] about [http://www.dailybruin.com/index.php/multimedia/43623 student loans and the rate of increase of the cost of college tuition].
* August 12, 2011: Scott Kamino, Lance Perry and Mat Swatek submitted a [http://www.youtube-nocookie.com/embed/kVhorHV35To video entitled "To Stat, or not to Stat?"] responding to the [http://www.amstat.org/youtube/ ASA contest to promote the practice and profession of statistics].
* August 03, 2011: Dave Zes, Nicolas Christou and Ivo Dinov are presenting a paper entitled [http://www.amstat.org/meetings/jsm/2011/onlineprogram/AbstractDetails.cfm?abstractid=302579 Spatial Statistics and Cartography Using SOCR (Abstract #302579)] in [http://www.amstat.org/meetings/jsm/2011/onlineprogram/MainSearchResults.cfm?SponsorID=206 Session # 524 (Wed, 8/3/2011, 11:20 AM)] at the [http://www.amstat.org/meetings/jsm/2011 Joint Statistical Meeting] in Miami Beach, Florida, July 30–August 4, 2011.
* July 15, 2011: Dr. Dinov was interviewed and quoted in an article in the Wall Street Journal about [http://blogs.wsj.com/numbersguy/happy-square-prime-sandwich-day-1072/ the proliferation of days designated to mark certain numerical properties - Happy Square-Prime Sandwich Day].
* June 24-25, 2011: Ivo Dinov is presenting [http://socr.ucla.edu/Ed/UC_OSI/ SOCR resource utilization in the University of California - Online Statistics Instruction (UC-OSI)] program. [http://www.ucop.edu UCOP] [http://groups.ischool.berkeley.edu/onlineeducation/ OIPP] [http://groups.ischool.berkeley.edu/onlineeducation/project-participants/course-design-conference Meeting, Berkeley, California]. See the video on [http://www.youtube.com/watch?v=O9aed06zCF0&list=PL5AB77EEBD0A8F7F9&index=6 YouTube].
* April 11-14, 2011: [http://www.healthgrid.org/news/index.php?id=31 outGRID workshop, Vilnius, Lithuania]. Ivo Dinov is presenting a paper entitled [http://www.egi.eu/indico/getFile.py/access?contribId=114&sessionId=12&resId=2&materialId=slides&confId=207 Visual Informatics and Computational Genomics using the Graphical Pipeline Environment].
* January 26-28, 2011: Ivo Dinov is [http://ccliconference.org/abstracts/663 presenting the SOCR resource] at the [http://www.ccliconference.com/ 2011 AAAS TUES/CCLI conference in Washington, DC] (American Association for the Advancement of Science, AAAS, and the National Science Foundation (NSF) Programs for Course, Curriculum, and Laboratory Improvement (CCLI) and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES).
* January 07, 2011: [http://distributome.org/ Distributome-An Interactive Web-based Resource for Probability Distributions]: Kyle Siegrist, Ivo Dinov, and Dennis Pearl will present the [http://www.mathaware.org/meetings/national/jmm/2125_program_friday.html State of the Probability Distributome Project], 2011 JMM meeting, NSF Division of Undergraduate Education, Napoleon A1-A3, 3rd Floor, Sheraton, 2:00-4:00PM.

==2010==
* December 04-05, 2010: [http://www.cmc-math.org/activities/north_program.html 2010 CMC-North Annual Asilomar Mathematics Conference]. Ivo Dinov will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* November 18, 2012: Dr. Dinov presented a seminar entitled [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=showevent&ncmd=calmonth&cal=cal2&id=1287690501-25406-1&ncals=&y=2010&m=11&d=18&token=&sb=0&cf=cal&lc=calmonth&swe=1&set=1&sa=0&sort=e,m,t&ws=0&sib=1&de=1&tf=0 Computational Neuroinformatics: Challenges, Methods, & Tools], UCLA [http://www.cs.ucla.edu/cgi-bin/webevent.cgi?cmd=calmonth&ncmd=startup&cal=cal2 Computer Science Seminar Series].
* November 05-06, 2010: [http://www.cmc-math.org/activities/south_conference.html 2010 CMC-South Annual Palm Springs Mathematics Conference]. Ivo Dinov and Nicolas Christou will [[SOCR_Events_CMC_2010 |present the SOCR Resource]].
* September 2010: [http://magazine.amstat.org/blog/2010/09/01/hands-on/ The SOCR MotionCharts Project receives an honorable mention in the 2010 ASA Hands-On Statistics Activity Competition].
* September 2010: In a High Speed Network partnership with K-12 educators, the SOCR Probability and Statistics [[EBook]] is posted on the [http://www.k12hsn.org/calaxy/wikis.php/calaxy/Probability_and_Statistics_EBook K12HSN network and made freely and openly available to the entire K-12 educational community].
* August 13, 2010, [[SOCR_Events_Aug2010 | SOCR AP Statistics Continuing Education Workshop]] at UCLA.
* July 31 - August 05, 2010, [http://www.amstat.org/meetings/jsm/2010/ JSM 2010 Conference], Vancouver, BC, Canada, July 31 – August 5, 2010:
** Juana Sanchez, Nicolas Christou and Ivo Dinov will present [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR CLT Applet and Activity]], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=307049 Abstract #307049], Tue, 8/3/2010, 2:00 PM.
** Nicolas Christou and Ivo Dinov will present [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Enhancing the Teaching of Statistics: Analysis of Spatial Data Using SOCR and R], Session #478, [http://www.amstat.org/meetings/jsm/2010/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=308613 Abstract #308613], Wed, 8/4/2010, 8:30 AM.
* July 20-23, 2010 [http://sloanconsortium.org/et4online Sloan Consortium/MERLOT symposium] (Fairmont Hotel in San Jose, CA). Nicolas Christou, Ryan Rosario and Ivo Dinov will present a session entitled [[SOCR_Events_SloanMerlot_2010 | Technology-Enhanced Probability and Statistics Education Using the Statistics Online Computational Resource]].
* June 09, 2010: SOCR V2.6 receives the [http://www.softpedia.com/progClean/Statistics-Online-Computational-Resource-Clean-161967.html Softpedia "100% Free & Clean" award]. This [http://www.socr.ucla.edu/htmls/SOCR_Recognitions.html certifies that all SOCR tools] are free of all forms of malware, including spyware, viruses, trojans and backdoors, and can be used and installed with no concern by any computer user.
* May 14, 2010: Dr. Dinov was interviewed and quoted in an article in the [http://blogs.wsj.com/numbersguy/overblown-notions-about-names-940/ Wall Street Journal about the concept of implicit egotism, or people’s unconscious attraction to things or people that resemble themselves — as manifested by name similarity].
* May 11, 2010: [[SOCR_Events_CAUSE_TL_Spring2010 | CAUSE SOCR Teaching and Learning Webinar]].
* April 19, 2010: [[SOCR_Events_FTO_Obesity_Neuroimaging2010 |The largest neuroimaging study to-date identifies the relations between obesity gene (FTO) and brain tissue loss using the SOCR computational libraries]].
* March 25, 2010: We upgraded the [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR user web-statistics mechanism]. Now we provide anonymous access to dynamic and complete statistics on the web-users of the main [http://www.SOCR.ucla.edu SOCR server]. The new [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR web-statistics architecture] allows anyone to see anytime the locations and types of the last 500 SOCR users. Each user is uniquely counter daily, irrespective of usage-time or number of SOCR resources they used. Other [[SOCR_Servers | SOCR servers]] have separate tracking mechanisms.
* March 17, 2010: [http://www.scientistlive.com/European-Science-News/Medical/Brain_abnormalities_in_children_exposed_to_meth/24237/ Brain abnormalities in children exposed to meth] - a news-brief on a recent [http://www.jneurosci.org/cgi/content/abstract/30/11/3876 article on Prenatal Methamphetamine use], co-authored by Dr. Dinov, is distributed by the National Institutes of Health.
* January 12, 2010: NSF/DUE PI Meeting at the [http://www.ams.org/amsmtgs/2124_intro.html 2010 JMM Meeting in San Francisco, CA]. Dr. Dinov [[SOCR_Events_JMM_Jan2010 |presented the SOCR Resource]].

==2009==
* October 2009: A new major upgrade of [[SOCR_EduMaterials_AnalysesActivities |SOCR Analyses]] is released that fixed the appearance of the tabs on all SOCR analysis applets. The new version only shows the tabs that are appropriate for the specific SOCR Analysis chosen by the user. This upgrade of Analyses resolves this inconsistency and makes the navigation to data-input, variable-mapping and result-interpretation much more intuitive and user-friendly.
* September 2009: A new [http://forums.stat.ucla.edu/socr SOCR forum is introduced]. Users, instructors, students and developers may use this forum to post questions, learn about various SOCR datasets, tools, learning materials, and contribute to the SOCR knowledgebase.
* August 15-23, 2009 [http://www.statssa.gov.za/isi2009/index.aspx SOCR Organized Events at the 2009 International Statistical Institute Meeting]
** August 16, 2009, [[SOCR_Events_ISIW_Aug2009 | SOCR Workshop at 2009 ISI Meeting]].
** August 17, 2009, [[SOCR_Events_ISIS_Aug2009 | A special session entitled ''Interactive, Data-Driven and Technology-Enhanced Approaches for Probability and Statistics Education'']], organized by Ivo Dinov and Nicolas Christou at 2009 ISI Meeting.
* August 10, 2009: The [http://www.dailybruin.com/index.php/article/2009/08/ucla-professors-host-workshop-open-source-projects Daily Bruin published an article about SOCR], summarizing [http://wiki.stat.ucla.edu/socr/uploads/9/93/DailyBruin_UCLA_SOCR_Aug2009.pdf the project scope and interviewing Ivo Dinov and Nicolas Christou].
* August 10-12, 2009, [[SOCR_Events_Aug2009 | SOCR Training & Development Workshop]] at UCLA.
* August 03, 2009, [http://www.amstat.org/meetings/jsm/2009/onlineprogram/index.cfm?fuseaction=activity_details&activityid=164&sessionid=204418 Confidence Intervals using SOCR]. Nicolas Christou and Ivo Dinov are presenting SOCR at the [http://www.amstat.org/meetings/jsm/2009/ 2009 JSM Meeting in Washington, DC].
* June 27, 2009, Nicolas Christou [http://www.causeweb.org/uscots/uscots09/program/posters.pdf presented a poster (page 19)] at the [http://www.causeweb.org/uscots/uscots09/ 2009 USCOTS conference at OSU].
* April 16, 2009, SOCR Sponsored [http://cts.stat.ucla.edu/seminars/ Teaching Statistics Seminar] by [http://www.stat.tamu.edu/~west/ Webster West], 4-5 PM, Math Science 5137.
* January 05-08, 2009: Ivo Dinov will give 2 talks and present a poster at [http://www.ams.org/amsmtgs/2110_program.html 2009 Joint AMS/MAA Meeting in Washington, DC], January 05-08, 2009.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf Interactive, Data-Driven and Technology-Enhanced Approach for Probability and Statistics Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:MAACPE1 Demos and Strategies with Technology that Enhance Teaching and Learning Mathematics], Tuesday, January 06, 2009, 9:20AM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-e1-26.pdf 1046-E1-26], [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/SOCR_AMS_1046_E1_26_01_06_09.pdf PDF Slides].
** [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS Statistics Online Computational Resource for Education], at a session on [http://www.ams.org/amsmtgs/2110_program_tuesday.html#2110:SCOTTPS MAA Poster Session on Projects Supported by the NSF Division of Undergraduate Education], Tuesday, January 06, 2009, 2 PM, Blue Room and Foyer, Omni Shoreham Hotel.
** [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf Integrated, Multidisciplinary and Technology-Enhanced Science Education: The Next Frontier], at a [http://www.ams.org/amsmtgs/2110_program_wednesday.html#2110:AMSCP28 Mathematics Education session], Wednesday, January 07, 2009, 1:15PM, [http://www.ams.org/amsmtgs/2110_abstracts/1046-97-25.pdf 1046-97-25], [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.ppt PPT Slides] and [http://www.socr.ucla.edu/docs/NISER_AMS_1046_97_25_01_07_09.pdf PDF Slides].

== 2008 ==
* November 17, 2008: [[SOCR_Overview_2008 | SOCR Presentation]] at [http://courses.stat.ucla.edu/index.php?term=08F&course=6637912&lecture=66379120 Statistics 495A] (Fall 2008).
* October 17, 2008: [[SOCR_Events_UCCP2008 | SOCR presentation at the UCCP/UCLA CDI meeting]] at at [http://www.cdi.ucla.edu/ UCLA CDI].
* September 27, 2008: Ivo Dinov is [[SOCR_Events_SMC2008 | presenting the SOCR resources]] at a continuing education event at Santa Monica College.
* September 17, 2008: The complete [[SOCR]] source code, v.2.5, was publicly released via the [http://socr.googlecode.com SOCR Google Code project page]. This new release contains the latest version of the [[SOCR]] libraries and all additional resources needed to revise, compile, package and deploy the entire [[SOCR]] resource on the Internet.
* August 14-15, 2008: Ivo Dinov is [[SOCR_Events_CCLI2008 | presenting the SOCR resource]] at the [http://www.ccliconference.com/ 2008 CCLI AAAS conference in Washington, DC].
* August 9, 2008: Nicolas Christou will present a seminar entitled [http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09#1090 Law of Large Numbers: The Theory, Applications and Technology-based Education], at the [http://mic08.merlot.org/program 2008 MERLOT International Conference] ([http://mic08.merlot.org/program/index.php?sort=date&date=2008-08-09 1:30-2:00 PM in the Conrad A Room]).
* August 2008: SOCR is releasing a new [http://www.esurveyspro.com/Survey.aspx?id=79ba4c38-b7d0-4530-aa00-12fdd32b6609 electronic polling survey to solicit open and anonymous community feedback on existing SOCR resources and recommendations for development of future SOCR materials and tools].
* August 2008, [http://www.amstat.org/meetings/jsm/2008 2009 Joint Statistics Meeting]
** Thu, 8/7/08, 10:30 AM - 12:20, Nicolas Christou is Chairing a session entitled [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=519&sessionid=203496 The Internet, Telecommunications, and Migration]
** Wed, 8/06/08, 2:00 PM - 3:50 PM, Nicolas Christou and Ivo Dinov are presenting [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=abstract_details&abstractid=301649 Applications of Statistics in Finance Using the Statistics Online Computational Resource (SOCR)] in a special session on [http://www.amstat.org/meetings/jsm/2008/onlineprogram/index.cfm?fuseaction=activity_details&activityid=451&sessionid=203500 Portfolio Analysis, Exchange Rates, Microstructure, and GARCH Models]
* July 29, 2008: Ivo Dinov will give a hands-on demonstration entitled [[SOCR_Events_July2008 | Using SOCR to Motivate Simulation Experiments in Middle and High School]] at the [http://censusatschool-california.stat.ucla.edu/ Second CensusAtSchool International Workshop], [http://censusatschool-california.stat.ucla.edu/ 3:15-4:00 PM, CCLIC Lab].
* July 07, 2008: [http://www.math.ucla.edu/~lvese Luminita Vese] and [http://www.stat.ucla.edu/~dinov Ivo Dinov] are co-organizing a [http://www.siam.org/meetings/is08/ SIAM Imaging Science] session on [http://meetings.siam.org/program.cfm?CONFCODE=IS08 Computational Science and Biology: The Challenges, Data, Methods and Tools] (MS4), [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6978 Part I] and [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=6979 Part II].
* June 20, 2008: Nicolas Christou will present a seminar entitled [http://trc.ucdavis.edu/uc21st/concurrent.html Web-based, Data-driven Probability and Statistics Education], at the [http://trc.ucdavis.edu/uc21st/ UC21st Century - Teaching, Learning and Technology: Past, Present and Future] Conference ([http://trc.ucdavis.edu/uc21st/schedule.html 11:45AM - 12:30PM]). Video ([http://uocatdavis.wmod.llnwd.net/a2636/e1/TLTC/TLTC_Nicholas_Christou.wmv WMP], [http://webcast.ucdavis.edu/TLTC/ FLASH]) and [http://trc.ucdavis.edu/uc21st/proceedings/christou_dinov_uc21st.ppt PPT slides] ara available online.
* June 05, 2008: [[SOCR_Events_EOY2008 | SOCR End-of-Year Event]].
* [http://cts.stat.ucla.edu/seminars 2008 SOCR/CTS '''Seminars''']:
** Thursday May 29: [http://www.stat.berkeley.edu/~stark/ Phil Stark], [http://www.stat.berkeley.edu/ Department of Statistics, UC Berkeley], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, May 15: [http://www.stat.ucla.edu/~esfandia Mahtash Esfandiari] and Hai Nguyen, Dept. of Statisitics, UCLA
** Thursday, May 1: [http://www.stat.osu.edu/~dkp/ Dennis Pearl], [http://www.stat.osu.edu/ Dept. of Statistics, The Ohio State University]. "The Statistical Buffet" course redesign at OSU, [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday, April 24: [http://mathequity.terc.edu/gw/html/Andeepage.html Andee Rubin], [http://www.terc.edu/ TERC], [http://cts.stat.ucla.edu/seminars/rubin.html Software as a Learning Context: the Case of TinkerPlots and Statistical Reasoning], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
** Thursday April 10: [http://www.maths.qut.edu.au/profiles/macgillivray/ Helen MacGillvray], Queensland University of Technology, Australia, [http://cts.stat.ucla.edu/seminars/macgillvray.html Roles of Assessment in Learning of Statistics and Mathematics], [http://cts.stat.ucla.edu/seminars/ Thursday, 4-5pm, Math Science # 5137].
* May 19, 2008: Dr. [http://www.stat.ucla.edu/~nchristo Nicolas Christou] will be awarded the prestigious [http://www.oid.ucla.edu/edtech/bpcaward Brian P. Copenhaver Award for Innovation in Teaching with Technology]. [[SOCR_Awards_Christou_BC2008 | More information about this event and Nicolas' contributions is available here]]. Nicolas Christou [http://www.oid.ucla.edu/edtech/bpcaward/2008-video-christou (video-stream) Interview] and [http://www.today.ucla.edu/campus/080520_online_stats-aid/ UCLA Today] article.
* May 05, 2008: Ivo Dinov will give a [http://www.amstat.org ASA]/[http://www.amstat.org/education/gaise/ GAISE] [[SOCR_Events_May2008 | Webinar for middle school teachers in various science and quantitative disciplines]].
* January 17-19, 2008, [http://www.hicstatistics.org/program_stats.htm 2008 Hawaii International Conference on Statistics, Mathematics and Related Fields], Honolulu, Hawaii:
** Nicolas Christou and Ivo Dinov will present [http://www.hicstatistics.org/STATS2008.pdf Statistics Online Computational Resource for Education: www.socr.ucla.edu];
** Priscilla Chui, Nicolas Christou and Ivo Dinov will present a talk on [http://www.hicstatistics.org/STATS2008.pdf Numbers and Sense].
* January 6-9, 2008: [http://www.ams.org/amsmtgs/2109_program.html Joint Mathematics Meetings (AMS/MAA), San Diego, CA].
** Annie Che, Nicolas Christou, Jenny Cui and Ivo Dinov will present a poster entitled [http://www.ams.org/amsmtgs/2109_program_monday.html SOCR Analyses: a free Internet-based Statistical Analysis Toolkit], on 01/07/08, 2-4 PM, as part of the [http://www.ams.org/amsmtgs/2109_program_monday.html NSF Division of Undergraduate Education] session.
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-P1-707) [http://www.ams.org/amsmtgs/2109_program_wednesday.html#2109:MAACPP2 Interactive Web-Based Probability Distribution Mathlets: www.SOCR.ucla.edu] at the [http://www.ams.org/amsmtgs/2109_abstracts/1035-p1-707.pdf MAA Session Mathlets and Web Resources for Mathematics and Statistics Education], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 1:20 PM, Wednesday Jan. 9, 2008].
** Rahul Gidwani, Nicolas Christou and Ivo Dinov will present a paper (1035-62-1789) [http://www.ams.org/amsmtgs/2109_abstracts/1035-62-1789.pdf Generating Functions: Web-based SOCR Applets and Computational Library Interfaces], [http://www.ams.org/amsmtgs/2109_program_wednesday.html 3:45 PM on Jan 09, 2008].

== 2007 ==
* Dec. 19. 2007, SOCR was added as a [http://apps.facebook.com/socrapp/ Facebook Application] and made available as a tool/plug-in to all FaceBook Users. To add the SOCR App to your Facebook page follow these steps:
** [http://www.facebook.com Login your Facebook account (or create one)]
** [http://apps.facebook.com/socrapp Visit the SOCR App home page]
** [http://www.facebook.com/apps/application.php?api_key=f7ba27416638bfa874514da430932a04 Add the SOCR App to your Applications by selecting '''add this application button''']
* Dec. 07, 2007, Dr. Dinov was interviewed and quoted in [http://wiki.stat.ucla.edu/socr/uploads/f/f9/WSJ_12_07_2007.pdf An article] in the [http://online.wsj.com/article/SB119698695198016514.html Wall Street Journal] about a paper by Leif Nelson (NYU) and Joseph Simmons (Yale) entitled [http://papers.ssrn.com/sol3/papers.cfm?abstract_id=946249 Moniker Maladies: When Names Sabotage Success]. In this article the authors present experimental designs and data to support hypotheses that ''unconscious behavior can insidiously undermine conscious pursuits''.
* Sept. 24, 2007: The [http://www.NSF.gov National Science Foundation (NSF)] extended the funding for the UCLA [[SOCR | Statistics Online Computational Resource (SOCR)]] for another 4 years (2007-2011). This is a great accomplishment for the [http://socr.ucla.edu/htmls/SOCR_Team.html SOCR team] and recognition of the SOCR Resource achievements since 2002. In the next 4 years, SOCR will design, test, validate, and disseminate 1) tools (applets, demos, GUI interfaces), 2) educational materials (activities, class notes, tutorials), and 3) resources (Statistics Online Computational Resource Wiki, consulting, workshops, etc.) More information is available [http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0716055 online].
* Aug. 22-29, 2007: SOCR [http://wiki.stat.ucla.edu/socr/uploads/c/c4/SOCR_Abstract_Lisbon_ISI2007.pdf sampling and simulation resources] are going to be presented as an invited talk (Nicolas Christou) at the 2007 [http://www.isi2007.com.pt International Statistics Institute meeting (ISI)], Lisbon, Portugal, ([http://wiki.stat.ucla.edu/socr/uploads/7/7b/Christou_Dinov_Sanchez_ISI2007.pdf PDF Slides])
* Aug. 08-10, 2007: Nicolas Christou is invited to present the [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | SOCR Central Limit Theorem Applet and hands-on activity]] at the [http://mic07.merlot.org/program/index.php?sort=date&date=2007-08-09#904 2007 Multimedia Educational Resource for Learning and Online Teaching Conference], [http://conference.merlot.org/2007/ MERLOT], New Orleans, LA. ([http://wiki.stat.ucla.edu/socr/uploads/2/21/Christou_MERLOT_CLT_2007.pdf Talk PDF], [http://conference.merlot.org/2007/Thursday/merlot_clt_2007.ppt Talk PPT])
* Aug. 06-08, 2007: [[SOCR_Events_Aug2007 | SOCR/CAUSE Workshop]] at UCLA
* Aug. 01, 2007: [http://www.amstat.org/meetings/jsm/2007/ JSM] - Nicolas Christou will present [http://www.amstat.org/meetings/jsm/2007/onlineprogram/index.cfm?fuseaction=activity_details&activityid=465&sessionid=202134 Enhancing the Teaching of Statistics with Technology Using the Statistics Online Computational Resource (SOCR)] in Session 466, at 2:00 PM at the Joint Statistical Meetings in Salt Lake City, Utah, July 29-August 2, 2007 ([http://wiki.stat.ucla.edu/socr/uploads/5/52/Christou_Talk_JSM_Aug2007.pdf Abstract #309845], PDF).
* June 01 and June 08, 2007 (4PM): [http://www.socr.ucla.edu/docs/SOCR_talks_060107.html The State of the Statistics Online Computational Resources], Ivo Dinov will present at the [http://cts.stat.ucla.edu/seminars/ UCLA Statistics Teaching Seminar].
* May 21-22, 2007, [http://pages.stern.nyu.edu/~gsimon/ Gary Simon], [http://pages.stern.nyu.edu/ NYU Stern], will visit SOCR and give a [http://seminars.stat.ucla.edu/ seminar talk] (TBD).
* May 17-19, 2007: SOCR will be presented at an [http://wiki.stat.ucla.edu/socr/index.php/USCOTS_2007_Program_SOCR invited breakout session] of the [http://www.causeweb.org/uscots USCOTS 2007] (Juana Sanchez, Nicolas Christou and Ivo Dinov).
* Mar. 07, 2007. [http://wiki.stat.ucla.edu/socr/uploads/3/3c/TheNumbersGuy_WSJ_03_07_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117338464249431351-0ghR_0Jef5ubo6ZLbYIVoePRxrA_20070408.html?mod=tff_main_tff_top Wall Street Journal] discussing probability estimations quotes Ivo Dinov.
* Feb. 27, 2007. [http://wiki.stat.ucla.edu/socr/uploads/8/88/TheNumbersGuy_WSJ_02_23_2007.pdf An article] in the [http://online.wsj.com/public/article/SB117207018272214963-M0nkHhnjRCR5_SIvOWHlNw2sCeE_20070324.html?mod=tff_main_tff_top Wall Street Journal] quotes the SOCR PI, Dr. Dinov.
* Jan. 08, 2007. [[SOCR]] was included in the [http://www.rsscse.org.uk/news/rssnewseducation.asp Royal Statistical Society News Brief]
* Jan. 05-08, 2007: [[SOCR]] Resource is presented at the [http://www.ams.org/amsmtgs/2098_intro.html Joint AMS/MAA meeting] in New Orleans, LA.
** Annie Che will present the [http://www.ams.org/amsmtgs/2098_progfull.html SOCR Analyses], Saturday January 6, 2007, 2:00 PM
** Ivo Dinov will give a talk on [http://www.ams.org/amsmtgs/2098_abstracts/1023-62-1.pdf SOCR Utilization and Assessment], Monday January 8, 2007, 2:45 PM, [http://www.ams.org/amsmtgs/2098_program_monday.html#2098:AMSCP28 AMS Session on Probability and Statistics]

== 2006 ==
* Ivo Dinov presented two talks at the 2006 American Medical Informatics Association ([http://www.amia.org AMIA]) [http://www.amia.org/meetings/f06/ Annual Meeting, Washington, DC]
** [http://www.amia.org/meetings/f06/showdoc.asp?DID=401 Biomedical Imaging Ontologies: Design Principles Enabling Interoperability for Imaging Applications, Tools, and Data], Nov. 11, 2006
** [http://www.amia.org/meetings/f06/showeve.asp?EID=S14 Seeing Biomedicine: New Opportunities and Research Challenges at the Intersection of Biomedical Imaging and Informatics], Nov. 13, 2006
* Maria Pilar Munoz, Dept. of Statistics, North Carolina State University, visited SOCR and gave a talk on [http://seminars.stat.ucla.edu/ ''Formal Assessment of a Web-based Tool Designed to Improve Student Performance in Statistics''], Tuesday, November 21, 2006, 3-4 pm; 6627 Math Sciences Bldg. Seminar#: 297.
* Juana Sanchez presented [http://www.socr.ucla.edu/docs/Sanchez_SOCR_JSM_2006.pdf SOCR Usage and Validation] at the [http://www.amstat.org/meetings/jsm/2006/onlineprogram/index.cfm?fuseaction=activity_details&activityid=148&sessionid=201662 Section on Statistical Education] of the [http://www.amstat.org/meetings/jsm/2006 Joint Statistics Meeting], August 2006, Seattle, WA.
* Juana Sanchez presented various SOCR Activities at the [http://www.maths.otago.ac.nz/icots7 ICOTS7], July 2006.
* Nicolas Christou gave a SOCR Colloquium Talk at the department of [http://www.mas.ucy.ac.cy/ Mathematics & Statistics, University of Cyprus], June 2006.
* [http://www.loni.ucla.edu/CCB/training.aspx?id=2912 2006 SIAM Symposia on Brain Segmentation], May 15-17, 2006 in Minneapolis, Minnesota, USA. Ivo Dinov organized a symposium at the [http://www.siam.org/meetings/is06 2006 SIAM Conference on Imaging Science] entitled ''Mathematical Methods and Tools for Volumetric Brain Segmentation''.
* Ivo Dinov presented the SOCR Resource at the [http://www.ams.org/amsmtgs/2095_intro.html Joint AMS/MAA joint Meeting], San Antonio, TX, January 2006

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_News}}

AP Statistics Curriculum 2007 Hypothesis S Mean

2013-05-22T15:55:58Z

IvoDinov: /* Hypothesis Testing about a Mean: Small Samples */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Testing a Claim about a Mean: Small Samples==

=== Testing a Claim about a Mean: Small Samples===

The [[AP_Statistics_Curriculum_2007_Hypothesis_L_Mean | previous section discussed inference on the population mean for large smaples]]. Now, we show how to do hypothesis testing of the mean for small sample-sizes.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* For a given small <math>\alpha</math> (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.), the <math>(1-\alpha)100%</math> Confidence interval for the mean is constructed by
: <math>CI(\alpha): \overline{x} \pm t_{df=n-1,{\alpha\over 2}} {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}}</math>
: and <math>t_{df=n-1, {\alpha\over 2}}</math> is the [[AP_Statistics_Curriculum_2007_Normal_Critical | critical value]] for a [[AP_Statistics_Curriculum_2007_StudentsT |T-distribution]] of df=(sample size - 1) at <math>{\alpha\over 2}</math>.

=== Hypothesis Testing about a Mean: Small Samples===
* Null Hypothesis: <math>H_o: \mu=\mu_o</math> (e.g., 0)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu >\mu_o</math>, or <math>H_o: \mu<\mu_o</math>
** Double sided: \(H_1: \mu \not= \mu_o\)

====Normal Process with Known Variance====
* If the population is Normally distributed and we know the population variance, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test statistics] is:
: <math>Z_o = {\overline{x} - \mu_o \over {\sigma \over \sqrt{n}}} \sim N(0,1)</math>.

====(Approximately) Normal Process with Unknown Variance====
* If the population is approximately Normally distributed and we do not know the population variance, then the [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test statistics] is:
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {\overline{x} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}})} \sim T_{(df=n-1)}</math>.

===Example===
Let's use again the small-sample example of the [[AP_Statistics_Curriculum_2007_Estim_L_Mean | ''number of sentences per advertisement'']], where we measure the readability for magazine advertisements. A random sample of the number of sentences found in 10 magazine advertisements is listed below. Suppose we want to test at <math>\alpha=0.01</math> a null hypothesis: <math>H_o: \mu=12</math> against a one-sided research alternative hypothesis: <math>H_1: \mu > 12</math>. Recall that we had the following [[AP_Statistics_Curriculum_2007_Estim_S_Mean#Example |sample statistics: '''sample-mean=22.1, sample-variance=737.88 and sample-SD=27.16390579''']] for these data.
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 16 || 9 || 14 || 11|| 17 || 12|| 99 || 18 || 13|| 12
|}
</center>

As the population variance is not given, we have to use the [[AP_Statistics_Curriculum_2007_StudentsT |T-statistics]]: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} \sim T(df=9)</math>
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {22.1 - 12 \over {{1\over \sqrt{10}} \sqrt{\sum_{i=1}^{10}{(x_i-22.1)^2\over 9}}})}=1.176</math>.
: <math>p-value=P(T_{(df=9)}>T_o=1.176)=0.134882</math> for this (one-sided) test. Therefore, we '''cannot reject''' the null hypothesis at <math>\alpha=0.01</math>! The left white area at the tails of the T(df=9) distribution depicts graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, this area is 0.134882, which is larger than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.01</math> and we cannot reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig4.jpg|600px]]</center>

* You can also use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig5.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Smaple T-test Activity]] provides additional hands-on demonstrations of one-sample hypothesis testing.

===Examples===

====Cavendish Mean Density of the Earth====
A number of famous early experiments of measuring physical constants have later been shown to be biased. In the 1700's [http://en.wikipedia.org/wiki/Henry_Cavendish Henry Cavendish] measured the [http://www.jstor.org/stable/pdfplus/107617.pdf mean density of the Earth]. Formulate and test null and research hypotheses about these data regarding the now known exact mean-density value = 5.517. These sample statistics may be helpful
: n = 23, sample mean = 5.483, sample SD = 0.1904
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 5.36 || 5.29 || 5.58 || 5.65 || 5.57 || 5.53 || 5.62 || 5.29 || 5.44 || 5.34 || 5.79 || 5.10 || 5.27 || 5.39 || 5.42 || 5.47 || 5.63 || 5.34 || 5.46 || 5.30 || 5.75 || 5.68 || 5.85
|}
</center>

<hr>

===Hypothesis Testing Summary===
Important parts of Hypothesis test conclusions:
* Decision (significance or no significance)
* Parameter of interest
* Variable of interest
* Population under study
* (optional but preferred) P-value

=== Parallels between Hypothesis Testing and Confidence Intervals===
These are different methods for coping with the uncertainty about the true value of a parameter caused by the sampling variation in estimates.

* [[AP_Statistics_Curriculum_2007_Estim_L_Mean | Confidence intervals]]: A fixed level of confidence is chosen. We determine a range of possible values for the parameter that are consistent with the data (at the chosen confidence level).

* Hypothesis (Significance) testing: Only one possible value for the parameter, called the hypothesized value, is tested. We determine the strength of the evidence (confidence) provided by the data against the proposition that the hypothesized value is the true value.

===[[EBook_Problems_Hypothesis_S_Mean|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Hypothesis_S_Mean}}

AP Statistics Curriculum 2007 Hypothesis L Mean

2013-05-22T15:54:54Z

IvoDinov: /* Hypothesis Testing About a Mean: Large Samples */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Testing a Claim About a Mean: Large Samples==

We already saw [[AP_Statistics_Curriculum_2007_Estim_L_Mean | how to construct point and interval estimates for the population mean in the large sample case]]. Now, we show how to do hypothesis testing of the mean for large sample-sizes.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* For a given small <math>\alpha</math> (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.), the <math>(1-\alpha)100%</math> Confidence interval for the mean is constructed by
: <math>CI(\alpha): \overline{x} \pm z_{\alpha\over 2} E,</math>
: where the '''margin of error''' E is defined as
: <math>E = \begin{cases}{\sigma\over\sqrt{n}},& \texttt{for-known}-\sigma,\\
{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}},& \texttt{for-unknown}-\sigma.\end{cases}</math>
: and <math>z_{\alpha\over 2}</math> is the [[AP_Statistics_Curriculum_2007_Normal_Critical | critical value]] for a [[AP_Statistics_Curriculum_2007_Normal_Std |Standard Normal]] distribution at <math>{\alpha\over 2}</math>.

=== Hypothesis Testing About a Mean: Large Samples===
* Null Hypothesis: <math>H_o: \mu=\mu_o</math> (e.g., <math>\mu_o=0</math>)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu >\mu_o</math>, or <math>H_1: \mu<\mu_o</math>
** Double sided: \(H_1: \mu \not= \mu_o\)

====Known Variance====
* [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test Statistics]:
: <math>Z_o = {\overline{x} - \mu_o \over {\sigma \over \sqrt{n}}} \sim N(0,1)</math>.

====Unknown Variance====
* [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test Statistics]:
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {\overline{x} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}})} \sim T_{(df=n-1)}</math>.

===Example===
Let's [[AP_Statistics_Curriculum_2007_Estim_L_Mean#Example | revisit the ''number of sentences per advertisement'' example]], where we measure the readability for magazine advertisements. A random sample of the number of sentences found in 30 magazine advertisements is listed below. Suppose:
: We want to test at <math>\alpha=0.05</math>
: Null hypothesis: <math>H_o: \mu=20</math>
: Against a double-sided research alternative hypothesis: <math>H_1: \mu \not= 20</math>.

<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 16 || 9 || 14 || 11|| 17 || 12|| 99 || 18 || 13|| 12 || 5 ||9 ||17 || 6 || 11 || 17 || 18 ||20 || 6 ||14|| 7 ||11|| 12 || 5 || 18 || 6 || 4 || 13 || 11 || 12
|}
</center>

We had the [[AP_Statistics_Curriculum_2007_Estim_L_Mean | following 2 sample statistics computed earlier]]
: <math>\overline{x}=\hat{\mu}=14.77</math>
: <math>s=\hat{\sigma}=16.54</math>

As the population variance is not given, we have to use the [[AP_Statistics_Curriculum_2007_StudentsT |T-Statistics]]: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} \sim T(df=29)</math>
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {14.77 - 20 \over {{1\over \sqrt{30}} \sqrt{\sum_{i=1}^{30}{(x_i-14.77)^2\over 29}}})}=-1.733</math>.
: <math>P(T_{(df=29)} < T_o=-1.733)=0.047</math>, thus
: the <math>p-value=2\times 0.047= 0.094</math> for this (double-sided) test.

Therefore, we '''can not reject''' the null hypothesis at <math>\alpha=0.05</math>! The left and right white areas at the tails of the T(df=29) distribution depict graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, the cumulative tail area is 0.094, which is larger than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.05</math> so we can not reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig3.jpg|600px]]</center>

* You can use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig2.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Sample T-test Activity]] provides additional hands-on demonstrations of one-sample hypothesis testing.

===Examples===

====Cavendish Mean Density of the Earth====
A number of famous early experiments of measuring physical constants has later been shown to be biased. In the 1700's [http://en.wikipedia.org/wiki/Henry_Cavendish Henry Cavendish] measured the [http://www.jstor.org/stable/pdfplus/107617.pdf Mean density of the Earth]. Formulate and test null and research hypotheses about these data regarding the now known exact mean-density value = 5.517. These sample statistics may be helpful (you can also find the [[AP_Statistics_Curriculum_2007_Hypothesis_L_Mean_Tbl1_tr|transposed table here]]):
: n = 23, sample mean = 5.483, sample SD = 0.1904
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 5.36 || 5.29 || 5.58 || 5.65 || 5.57 || 5.53 || 5.62 || 5.29 || 5.44 || 5.34 || 5.79 || 5.10 || 5.27 || 5.39 || 5.42 || 5.47 || 5.63 || 5.34 || 5.46 || 5.30 || 5.75 || 5.68 || 5.85
|}
</center>

====US Federal Budget Deficit====
Use the [[SOCR_Data_US_BudgetsDeficits_1849_2016 | US Federal Budget Deficit data (1849-2016)]] to formulate and test several Null hypotheses on whether the US Federal Budget Deficit is trivial (<math>\mu_o=0</math>) in different time frames (e.g., 1849-2000 or 1900-2016). Start with some [[AP_Statistics_Curriculum_2007_EDA_Plots |exploratory data analyses]] to plot the data as shown in the [[SOCR_Data_US_BudgetsDeficits_1849_2016|data page]]. Then you can use the [http://www.socr.ucla.edu/htmls/ana/OneSampleTTest_Analysis.html SOCR One Sample T-Test] and the [http://www.socr.ucla.edu/htmls/ana/ConfidenceInterval_Analysis.html SOCR Confidence Interval] applets. What are your conclusions?

<hr>

===Hypothesis Testing Summary===
Important parts of Hypothesis Test conclusions:
* Decision (significance or no significance)
* Parameter of Interest
* Variable of Interest
* Population under study
* (optional but preferred) P-value

=== Parallels between Hypothesis Testing and Confidence Intervals===
These are different methods for coping with the uncertainty about the true value of a parameter caused by the sampling variation in estimates.

* [[AP_Statistics_Curriculum_2007_Estim_L_Mean | Confidence Intervals]]: A fixed level of confidence is chosen. We determine a range of possible values for the parameter that are consistent with the data (at the chosen confidence level).

* Hypothesis (Significance) testing: Only one possible value for the parameter, called the hypothesized value, is tested. We determine the strength of the evidence (confidence) provided by the data against the proposition that the hypothesized value is the true value.

===[[EBook_Problems_Hypothesis_L_Mean|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Hypothesis_L_Mean}}

AP Statistics Curriculum 2007 Hypothesis L Mean

2013-05-22T15:54:43Z

IvoDinov: /* Hypothesis Testing About a Mean: Large Samples */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Testing a Claim About a Mean: Large Samples==

We already saw [[AP_Statistics_Curriculum_2007_Estim_L_Mean | how to construct point and interval estimates for the population mean in the large sample case]]. Now, we show how to do hypothesis testing of the mean for large sample-sizes.

===[[AP_Statistics_Curriculum_2007_Estim_L_Mean | Background]]===
* Recall that for a random sample {<math>X_1, X_2, X_3, \cdots , X_n</math>} of the process, the population mean may be estimated by the sample average, <math>\overline{X_n}={1\over n}\sum_{i=1}^n{X_i}</math>.

* For a given small <math>\alpha</math> (e.g., 0.1, 0.05, 0.025, 0.01, 0.001, etc.), the <math>(1-\alpha)100%</math> Confidence interval for the mean is constructed by
: <math>CI(\alpha): \overline{x} \pm z_{\alpha\over 2} E,</math>
: where the '''margin of error''' E is defined as
: <math>E = \begin{cases}{\sigma\over\sqrt{n}},& \texttt{for-known}-\sigma,\\
{{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}},& \texttt{for-unknown}-\sigma.\end{cases}</math>
: and <math>z_{\alpha\over 2}</math> is the [[AP_Statistics_Curriculum_2007_Normal_Critical | critical value]] for a [[AP_Statistics_Curriculum_2007_Normal_Std |Standard Normal]] distribution at <math>{\alpha\over 2}</math>.

=== Hypothesis Testing About a Mean: Large Samples===
* Null Hypothesis: <math>H_o: \mu=\mu_o</math> (e.g., <math>\mu_o=0</math>)
* Alternative Research Hypotheses:
** One sided (uni-directional): <math>H_1: \mu >\mu_o</math>, or <math>H_1: \mu<\mu_o</math>
** Double sided: \)H_1: \mu \not= \mu_o\)

====Known Variance====
* [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test Statistics]:
: <math>Z_o = {\overline{x} - \mu_o \over {\sigma \over \sqrt{n}}} \sim N(0,1)</math>.

====Unknown Variance====
* [http://en.wikipedia.org/wiki/Hypothesis_testing#Common_test_statistics Test Statistics]:
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {\overline{x} - \mu_o \over {{1\over \sqrt{n}} \sqrt{\sum_{i=1}^n{(x_i-\overline{x})^2\over n-1}}})} \sim T_{(df=n-1)}</math>.

===Example===
Let's [[AP_Statistics_Curriculum_2007_Estim_L_Mean#Example | revisit the ''number of sentences per advertisement'' example]], where we measure the readability for magazine advertisements. A random sample of the number of sentences found in 30 magazine advertisements is listed below. Suppose:
: We want to test at <math>\alpha=0.05</math>
: Null hypothesis: <math>H_o: \mu=20</math>
: Against a double-sided research alternative hypothesis: <math>H_1: \mu \not= 20</math>.

<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 16 || 9 || 14 || 11|| 17 || 12|| 99 || 18 || 13|| 12 || 5 ||9 ||17 || 6 || 11 || 17 || 18 ||20 || 6 ||14|| 7 ||11|| 12 || 5 || 18 || 6 || 4 || 13 || 11 || 12
|}
</center>

We had the [[AP_Statistics_Curriculum_2007_Estim_L_Mean | following 2 sample statistics computed earlier]]
: <math>\overline{x}=\hat{\mu}=14.77</math>
: <math>s=\hat{\sigma}=16.54</math>

As the population variance is not given, we have to use the [[AP_Statistics_Curriculum_2007_StudentsT |T-Statistics]]: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} \sim T(df=29)</math>
: <math>T_o = {\overline{x} - \mu_o \over SE(\overline{x})} = {14.77 - 20 \over {{1\over \sqrt{30}} \sqrt{\sum_{i=1}^{30}{(x_i-14.77)^2\over 29}}})}=-1.733</math>.
: <math>P(T_{(df=29)} < T_o=-1.733)=0.047</math>, thus
: the <math>p-value=2\times 0.047= 0.094</math> for this (double-sided) test.

Therefore, we '''can not reject''' the null hypothesis at <math>\alpha=0.05</math>! The left and right white areas at the tails of the T(df=29) distribution depict graphically the probability of interest, which represents the strength of the evidence (in the data) against the Null hypothesis. In this case, the cumulative tail area is 0.094, which is larger than the initially set [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | Type I]] error <math>\alpha = 0.05</math> so we can not reject the null hypothesis.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig3.jpg|600px]]</center>

* You can use the [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses (One-Sample T-Test)] to carry out these calculations as shown in the figure below.
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig2.jpg|600px]]</center>

* This [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Sample T-test Activity]] provides additional hands-on demonstrations of one-sample hypothesis testing.

===Examples===

====Cavendish Mean Density of the Earth====
A number of famous early experiments of measuring physical constants has later been shown to be biased. In the 1700's [http://en.wikipedia.org/wiki/Henry_Cavendish Henry Cavendish] measured the [http://www.jstor.org/stable/pdfplus/107617.pdf Mean density of the Earth]. Formulate and test null and research hypotheses about these data regarding the now known exact mean-density value = 5.517. These sample statistics may be helpful (you can also find the [[AP_Statistics_Curriculum_2007_Hypothesis_L_Mean_Tbl1_tr|transposed table here]]):
: n = 23, sample mean = 5.483, sample SD = 0.1904
<center>
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
| 5.36 || 5.29 || 5.58 || 5.65 || 5.57 || 5.53 || 5.62 || 5.29 || 5.44 || 5.34 || 5.79 || 5.10 || 5.27 || 5.39 || 5.42 || 5.47 || 5.63 || 5.34 || 5.46 || 5.30 || 5.75 || 5.68 || 5.85
|}
</center>

====US Federal Budget Deficit====
Use the [[SOCR_Data_US_BudgetsDeficits_1849_2016 | US Federal Budget Deficit data (1849-2016)]] to formulate and test several Null hypotheses on whether the US Federal Budget Deficit is trivial (<math>\mu_o=0</math>) in different time frames (e.g., 1849-2000 or 1900-2016). Start with some [[AP_Statistics_Curriculum_2007_EDA_Plots |exploratory data analyses]] to plot the data as shown in the [[SOCR_Data_US_BudgetsDeficits_1849_2016|data page]]. Then you can use the [http://www.socr.ucla.edu/htmls/ana/OneSampleTTest_Analysis.html SOCR One Sample T-Test] and the [http://www.socr.ucla.edu/htmls/ana/ConfidenceInterval_Analysis.html SOCR Confidence Interval] applets. What are your conclusions?

<hr>

===Hypothesis Testing Summary===
Important parts of Hypothesis Test conclusions:
* Decision (significance or no significance)
* Parameter of Interest
* Variable of Interest
* Population under study
* (optional but preferred) P-value

=== Parallels between Hypothesis Testing and Confidence Intervals===
These are different methods for coping with the uncertainty about the true value of a parameter caused by the sampling variation in estimates.

* [[AP_Statistics_Curriculum_2007_Estim_L_Mean | Confidence Intervals]]: A fixed level of confidence is chosen. We determine a range of possible values for the parameter that are consistent with the data (at the chosen confidence level).

* Hypothesis (Significance) testing: Only one possible value for the parameter, called the hypothesized value, is tested. We determine the strength of the evidence (confidence) provided by the data against the proposition that the hypothesized value is the true value.

===[[EBook_Problems_Hypothesis_L_Mean|Problems]]===

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Hypothesis_L_Mean}}

AP Statistics Curriculum 2007 Hypothesis Basics

2013-05-22T15:54:10Z

IvoDinov: /* Example 2: Sodium content in hot-dogs */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Fundamentals of Hypothesis Testing==

=== Fundamentals of Hypothesis Testing===
A (statistical) '''Hypothesis Test''' is a method of making statistical decisions about populations or processes based on experimental data. Hypothesis testing just answers the question of ''how well the findings fit the possibility that the chance alone might be responsible for the observed discrepancy between the theoretical model and the empirical observations''. This is accomplished by asking and answering a hypothetical question. What is the likelihood of the observed summary statistics of interest, if the data did come from the distribution specified by the null-hypothesis? One use of hypothesis-testing is deciding whether experimental results contain enough information to cast doubt on conventional wisdom.

* Example: Consider determining whether a suitcase contains some radioactive material. Placed under a [http://en.wikipedia.org/wiki/Geiger_counter Geiger counter], the suitcase produces 10 clicks (counts) per minute. The '''null hypothesis''' is that there is no radioactive material in the suitcase and that all measured counts are due to ambient radioactivity typical of the surrounding air and harmless objects in a suitcase. We can then calculate how likely it is that the null hypothesis produces 10 counts per minute. If it is likely, for example if the null hypothesis predicts on average 9 counts per minute, we say that the suitcase is compatible with the null hypothesis (which does not imply that there is no radioactive material, we just can't determine from the 1-minute sample we took using this specific method!); On the other hand, if the null hypothesis predicts for example 1 count per minute, then the suitcase is not compatible with the null hypothesis and there must be other factors responsible to produce the increased radioactive counts.

The ''Hypothesis Testing'' is also known as ''Statistical Significance Testing''. The null hypothesis is a conjecture that exists solely to be disproved, rejected or falsified by the [[AP_Statistics_Curriculum_2007_Estim_L_Mean | sample-statistics used to estimate the unknown population parameters]]. Statistical significance is a possible finding of the test, that the sample is unlikely to have occurred in this process by chance given the truth of the null hypothesis. The name of the test describes its formulation and its possible outcome. One characteristic of hypothesis testing is its crisp decision about the null-hypothesis: '''reject''' or '''do not reject''' (which is not the same as '''accept''').

===Null and Alternative (Research) Hypotheses===
A '''Null Hypothesis''' is a thesis set up to be nullified or refuted in order to support an ''Alternate (research) Hypothesis''. The null hypothesis is presumed '''true''' until statistical evidence, in the form of a hypothesis test, indicates otherwise. In science, the null hypothesis is used to test differences between treatment and control groups, and the assumption at the outset of the experiment is that no difference exists between the two groups for the variable of interest (e.g., population means). The null hypothesis proposes something initially presumed true, and it is rejected only when it becomes evidently false. That is, when a researcher has a certain degree of confidence, usually 95% to 99%, that the data do not support the null hypothesis.

===Example 1: Gender effects===
If we want to compare the test scores of two random samples of men and women, a null hypothesis would be that the mean score of the male population was the same as the mean score of the female population:
: ''H''0 : μmen = μwomen

where:
: ''H''0 = the null hypothesis
: μmen = the mean of the males (population 1), and
: μwomen = the mean of the females (population 2).

Alternatively, the null hypothesis can postulate that the two samples are drawn from the same population, so that the [[AP_Statistics_Curriculum_2007#Chapter_II:_Describing.2C_Exploring.2C_and_Comparing_Data | center, variance and shape of the distributions]] are equal.

Formulation of the null hypothesis is a vital step in testing statistical significance. Having formulated such a hypothesis, one can establish the probability of observing the obtained data from the prediction of the null hypothesis, if the null hypothesis is true. That probability is what commonly called the ''significance level'' of the results.

In many scientific experimental designs we predict that a particular factor will produce an effect on our dependent variable — this is our alternative hypothesis. We then consider how often we would expect to observe our experimental results, or results even more extreme, if we were to take many samples from a population where there was no effect (i.e. we test against our null hypothesis). If we find that this happens rarely (up to, say, 5% of the time), we can conclude that our results support our experimental prediction — we reject our null hypothesis.

===Type I Error, Type II Error and Power===
Directly related to hypothesis testing are the following 3 concepts:

* [http://en.wikipedia.org/wiki/Type_I_error Type I Error]: The '''false positive''' (Type I) Error of rejecting the null hypothesis given that it is actually true; e.g., A court finding a person guilty of a crime that they did not actually commit.

* [http://en.wikipedia.org/wiki/Type_II_error Type II Error]: The Type II Error ('''false negative''') is the error of failing to reject the null hypothesis given that the alternative hypothesis is actually true; e.g., A court finding a person not guilty of a crime that they did actually commit.

* [http://en.wikipedia.org/wiki/Type_I_error Statistical Power]: The '''Power of a Statistical Test''' is the probability that the test will reject a false null hypothesis (that it will not make a Type II Error). As power increases, the chances of a Type II error decrease. The probability of a Type II error is referred to as the false negative rate (β). Therefore power is equal to 1 − β. You can also see this [[Power_Analysis_for_Normal_Distribution | SOCR Power Activity]].

{| class="wikitable" style="text-align:center;" border="2"
|-
! colspan=2 rowspan=2| 
! colspan=2 |Actual condition
|-
! Absent (Ho is true)
! Present (H1 is true)
|-
! rowspan=2 |Test  Result 
!  Negative (fail to reject Ho) 
| Condition absent + Negative result = True (accurate) Negative ('''TN''', 0.98505)
| Condition present + Negative result = False (invalid) Negative ('''FN''', 0.00025) '''Type II error''' <math>(\beta)</math>
|-
! Positive (reject Ho)
| Condition absent + Positive result = False Positive ('''FP''', 0.00995) '''Type I error''' <math>(\alpha)</math>
| Condition Present + Positive result = True Positive ('''TP''', 0.00475)
|-
! Test Interpretation
| '''Power''' = 1-FN= 1-0.00025 = 0.99975
| '''Specificity''': TN/(TN+FP) = 0.98505/(0.98505+ 0.00995) = 0.99
| '''Sensitivity''': TP/(TP+FN) = 0.00475/(0.00475+ 0.00025)= 0.95
|}

* Remarks:
** A '''Specificity''' of 100% means that the test recognizes all healthy individuals as (normal) healthy. The maximum is trivially achieved by a test that claims everybody is healthy regardless of the true condition. Therefore, the specificity alone does not tell us how well the test recognizes positive cases.
** '''False positive rate (α)'''= \(\frac{FP}{FP+TN} = \frac{0.00995}{0.00995 + 0.98505}=0.01 \)= 1 - Specificity.
** '''Sensitivity''' is a measure of how well a test correctly identifies a condition, whether this is medical screening tests picking up on a disease, or quality control in factories deciding if a new product is good enough to be sold.
** '''False Negative Rate (β)'''= \(\frac{FN}{FN+TP} = \frac{0.00025}{0.00025+0.00475}=0.05 \)= 1 - Sensitivity.
** '''Power''' = 1 − β= 0.99975, see [[Power_Analysis_for_Normal_Distribution]].

===Example 2: Sodium content in hot-dogs===
Use the [[SOCR_012708_ID_Data_HotDogs |Hot-dog dataset]] to see if there are statistically significant differences in the sodium content of the poultry vs. meat hotdogs.
* Formulate Hypotheses: \(H_o: \mu_p = \mu_m\) vs. \(H_1: \mu_p \not= \mu_m\), where <math>\mu_p, \mu_m</math> represent the mean sodium content in poultry and mean hotdogs.
* Plug in the data in [http://socr.stat.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses] under the [[SOCR_EduMaterials_AnalysisActivities_TwoIndepTU |Two Independent Sample T-Test (Unpooled)]] will generate results as shown in the figure below (Two-Sided P-Value (Unpooled) = 0.196, which does not provide strong evidence to reject the null hypothesis that the two types of hot-dogs have the same mean sodium content).
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig1.jpg|600px]]</center>

===Example 3: Rapid testing in strep-throat===
[[AP_Statistics_Curriculum_2007_Hypothesis_Basics#References | This study investigated the accuracy of rapid diagnosis of group A <math>\beta</math>-streptococcal pharyngitis by commercial immunochemical antigen test kits in the setting of recent streptococcal pharyngitis]]. Specifically, it explored whether the false-positive rate of the rapid test was increased because of presumed antigen persistence.

Study used 443 patients who had clinical pharyngitis diagnosed as group A <math>\beta</math>-hemolytic streptococcus infection in the past 28 days and compared them with 232 control patients who had symptoms of pharyngitis but no recent diagnosis of streptococcal pharyngitis. The aim was narrowly focused to compare the rapid strep test with the culture method used in clinical practice.

The study found that the rapid strep test in this setting showed no difference in specificity (0.96 vs. 0.98). Hence, the assertion that rapid antigen testing had higher false-positive rates in those with recent infection was not confirmed. It also found that in patients who had recent streptococcal pharyngitis, the rapid strep test appears to be more reliable (sensitivity 0.91 vs 0.70, P < .001) than in those patients who had not had recent streptococcal pharyngitis. These findings indicated that the rapid strep test is both sensitive and specific in the setting of recent group A <math>\beta</math>-hemolytic streptococcal pharyngitis, and its use might allow earlier treatment in this subgroup of patients.

Table 1. Sensitivity and Specificity of Laboratory Culture and Rapid Strep Test in ''Patients With Recently Treated Cases of Streptococcal Pharyngitis'' (N=443).

<center>
{| class="wikitable" style="text-align:center;" border="2"
|-
! Results || Culture Negative || Culture Positive
|-
| Rapid strep test negative || 93 || 10
|-
| Rapid strep test positive || 4 || 104
|-
| || colspan=2 | Estimate 95% CI
|-
| Sensitivity || 104/(104+10) = 0.91 || 0.84, 0.96
|-
| Specificity || 93/(93+4) = 0.96 || 0.90, 0.99
|-
| Positive predictive value || 0.96 || 0.91, 0.99
|-
| Negative predictive value || 0.90 || 0.83, 0.95
|-
| False-positive rate || 0.04 || 0.01, 0.10
|-
| False-negative rate || 0.09 || 0.04, 0.15
|}
</center>

Table 2. Sensitivity and Specificity of Laboratory Culture and Rapid Strep Test in ''Patients With No Recently Treated Cases of Streptococcal Pharyngitis'' (N=232).

<center>
{| class="wikitable" style="text-align:center;" border="2"
|-
! Results || Culture Negative || Culture Positive
|-
| Rapid strep test negative || 165 || 19
|-
| Rapid strep test positive || 4 || 44
|-
| || colspan=2 | Estimate 95% CI
|-
| Sensitivity || 44/(44+19) = 0.70 || 0.57, 0.81
|-
| Specificity || 168/(165+4) = 0.98 || 0.94, 0.99
|-
| Positive predictive value || 0.92 || 0.80, 0.99
|-
| Negative predictive value || 0.90 || 0.84, 0.94
|-
| False-positive rate || 0.02 || 0.01, 0.06
|-
| False-negative rate || 0.30 || 0.19, 0.43
|}
</center>

===[[EBook_Problems_Hypothesis_Basics|Problems]]===

<hr>

===References===
Robert D. Sheeler, MD, Margaret S. Houston, MD, Sharon Radke, RN, Jane C. Dale, MD, and Steven C. Adamson, MD. (2002) [http://jabfm.org/cgi/content/abstract/15/4/261 Accuracy of Rapid Strep Testing in Patients Who Have Had Recent Streptococcal Pharyngitis]. JABFP, 2002, 15(4), 261-265.

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Hypothesis_Basics}}

AP Statistics Curriculum 2007 Hypothesis Basics

2013-05-22T15:53:43Z

IvoDinov: /* Type I Error, Type II Error and Power */

==[[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] - Fundamentals of Hypothesis Testing==

=== Fundamentals of Hypothesis Testing===
A (statistical) '''Hypothesis Test''' is a method of making statistical decisions about populations or processes based on experimental data. Hypothesis testing just answers the question of ''how well the findings fit the possibility that the chance alone might be responsible for the observed discrepancy between the theoretical model and the empirical observations''. This is accomplished by asking and answering a hypothetical question. What is the likelihood of the observed summary statistics of interest, if the data did come from the distribution specified by the null-hypothesis? One use of hypothesis-testing is deciding whether experimental results contain enough information to cast doubt on conventional wisdom.

* Example: Consider determining whether a suitcase contains some radioactive material. Placed under a [http://en.wikipedia.org/wiki/Geiger_counter Geiger counter], the suitcase produces 10 clicks (counts) per minute. The '''null hypothesis''' is that there is no radioactive material in the suitcase and that all measured counts are due to ambient radioactivity typical of the surrounding air and harmless objects in a suitcase. We can then calculate how likely it is that the null hypothesis produces 10 counts per minute. If it is likely, for example if the null hypothesis predicts on average 9 counts per minute, we say that the suitcase is compatible with the null hypothesis (which does not imply that there is no radioactive material, we just can't determine from the 1-minute sample we took using this specific method!); On the other hand, if the null hypothesis predicts for example 1 count per minute, then the suitcase is not compatible with the null hypothesis and there must be other factors responsible to produce the increased radioactive counts.

The ''Hypothesis Testing'' is also known as ''Statistical Significance Testing''. The null hypothesis is a conjecture that exists solely to be disproved, rejected or falsified by the [[AP_Statistics_Curriculum_2007_Estim_L_Mean | sample-statistics used to estimate the unknown population parameters]]. Statistical significance is a possible finding of the test, that the sample is unlikely to have occurred in this process by chance given the truth of the null hypothesis. The name of the test describes its formulation and its possible outcome. One characteristic of hypothesis testing is its crisp decision about the null-hypothesis: '''reject''' or '''do not reject''' (which is not the same as '''accept''').

===Null and Alternative (Research) Hypotheses===
A '''Null Hypothesis''' is a thesis set up to be nullified or refuted in order to support an ''Alternate (research) Hypothesis''. The null hypothesis is presumed '''true''' until statistical evidence, in the form of a hypothesis test, indicates otherwise. In science, the null hypothesis is used to test differences between treatment and control groups, and the assumption at the outset of the experiment is that no difference exists between the two groups for the variable of interest (e.g., population means). The null hypothesis proposes something initially presumed true, and it is rejected only when it becomes evidently false. That is, when a researcher has a certain degree of confidence, usually 95% to 99%, that the data do not support the null hypothesis.

===Example 1: Gender effects===
If we want to compare the test scores of two random samples of men and women, a null hypothesis would be that the mean score of the male population was the same as the mean score of the female population:
: ''H''0 : μmen = μwomen

where:
: ''H''0 = the null hypothesis
: μmen = the mean of the males (population 1), and
: μwomen = the mean of the females (population 2).

Alternatively, the null hypothesis can postulate that the two samples are drawn from the same population, so that the [[AP_Statistics_Curriculum_2007#Chapter_II:_Describing.2C_Exploring.2C_and_Comparing_Data | center, variance and shape of the distributions]] are equal.

Formulation of the null hypothesis is a vital step in testing statistical significance. Having formulated such a hypothesis, one can establish the probability of observing the obtained data from the prediction of the null hypothesis, if the null hypothesis is true. That probability is what commonly called the ''significance level'' of the results.

In many scientific experimental designs we predict that a particular factor will produce an effect on our dependent variable — this is our alternative hypothesis. We then consider how often we would expect to observe our experimental results, or results even more extreme, if we were to take many samples from a population where there was no effect (i.e. we test against our null hypothesis). If we find that this happens rarely (up to, say, 5% of the time), we can conclude that our results support our experimental prediction — we reject our null hypothesis.

===Type I Error, Type II Error and Power===
Directly related to hypothesis testing are the following 3 concepts:

* [http://en.wikipedia.org/wiki/Type_I_error Type I Error]: The '''false positive''' (Type I) Error of rejecting the null hypothesis given that it is actually true; e.g., A court finding a person guilty of a crime that they did not actually commit.

* [http://en.wikipedia.org/wiki/Type_II_error Type II Error]: The Type II Error ('''false negative''') is the error of failing to reject the null hypothesis given that the alternative hypothesis is actually true; e.g., A court finding a person not guilty of a crime that they did actually commit.

* [http://en.wikipedia.org/wiki/Type_I_error Statistical Power]: The '''Power of a Statistical Test''' is the probability that the test will reject a false null hypothesis (that it will not make a Type II Error). As power increases, the chances of a Type II error decrease. The probability of a Type II error is referred to as the false negative rate (β). Therefore power is equal to 1 − β. You can also see this [[Power_Analysis_for_Normal_Distribution | SOCR Power Activity]].

{| class="wikitable" style="text-align:center;" border="2"
|-
! colspan=2 rowspan=2| 
! colspan=2 |Actual condition
|-
! Absent (Ho is true)
! Present (H1 is true)
|-
! rowspan=2 |Test  Result 
!  Negative (fail to reject Ho) 
| Condition absent + Negative result = True (accurate) Negative ('''TN''', 0.98505)
| Condition present + Negative result = False (invalid) Negative ('''FN''', 0.00025) '''Type II error''' <math>(\beta)</math>
|-
! Positive (reject Ho)
| Condition absent + Positive result = False Positive ('''FP''', 0.00995) '''Type I error''' <math>(\alpha)</math>
| Condition Present + Positive result = True Positive ('''TP''', 0.00475)
|-
! Test Interpretation
| '''Power''' = 1-FN= 1-0.00025 = 0.99975
| '''Specificity''': TN/(TN+FP) = 0.98505/(0.98505+ 0.00995) = 0.99
| '''Sensitivity''': TP/(TP+FN) = 0.00475/(0.00475+ 0.00025)= 0.95
|}

* Remarks:
** A '''Specificity''' of 100% means that the test recognizes all healthy individuals as (normal) healthy. The maximum is trivially achieved by a test that claims everybody is healthy regardless of the true condition. Therefore, the specificity alone does not tell us how well the test recognizes positive cases.
** '''False positive rate (α)'''= \(\frac{FP}{FP+TN} = \frac{0.00995}{0.00995 + 0.98505}=0.01 \)= 1 - Specificity.
** '''Sensitivity''' is a measure of how well a test correctly identifies a condition, whether this is medical screening tests picking up on a disease, or quality control in factories deciding if a new product is good enough to be sold.
** '''False Negative Rate (β)'''= \(\frac{FN}{FN+TP} = \frac{0.00025}{0.00025+0.00475}=0.05 \)= 1 - Sensitivity.
** '''Power''' = 1 − β= 0.99975, see [[Power_Analysis_for_Normal_Distribution]].

===Example 2: Sodium content in hot-dogs===
Use the [[SOCR_012708_ID_Data_HotDogs |Hot-dog dataset]] to see if there are statistically significant differences in the sodium content of the poultry vs. meat hotdogs.
* Formulate Hypotheses: <math>H_o: \mu_p = \mu_m</math> vs. <math>H_1: \mu_p \not= \mu_m</math>, where <math>\mu_p, \mu_m</math> represent the mean sodium content in poultry and mean hotdogs.
* Plug in the data in [http://socr.stat.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses] under the [[SOCR_EduMaterials_AnalysisActivities_TwoIndepTU |Two Independent Sample T-Test (Unpooled)]] will generate results as shown in the figure below (Two-Sided P-Value (Unpooled) = 0.196, which does not provide strong evidence to reject the null hypothesis that the two types of hot-dogs have the same mean sodium content).
<center>[[Image:SOCR_EBook_Dinov_Hypothesis_020508_Fig1.jpg|600px]]</center>

===Example 3: Rapid testing in strep-throat===
[[AP_Statistics_Curriculum_2007_Hypothesis_Basics#References | This study investigated the accuracy of rapid diagnosis of group A <math>\beta</math>-streptococcal pharyngitis by commercial immunochemical antigen test kits in the setting of recent streptococcal pharyngitis]]. Specifically, it explored whether the false-positive rate of the rapid test was increased because of presumed antigen persistence.

Study used 443 patients who had clinical pharyngitis diagnosed as group A <math>\beta</math>-hemolytic streptococcus infection in the past 28 days and compared them with 232 control patients who had symptoms of pharyngitis but no recent diagnosis of streptococcal pharyngitis. The aim was narrowly focused to compare the rapid strep test with the culture method used in clinical practice.

The study found that the rapid strep test in this setting showed no difference in specificity (0.96 vs. 0.98). Hence, the assertion that rapid antigen testing had higher false-positive rates in those with recent infection was not confirmed. It also found that in patients who had recent streptococcal pharyngitis, the rapid strep test appears to be more reliable (sensitivity 0.91 vs 0.70, P < .001) than in those patients who had not had recent streptococcal pharyngitis. These findings indicated that the rapid strep test is both sensitive and specific in the setting of recent group A <math>\beta</math>-hemolytic streptococcal pharyngitis, and its use might allow earlier treatment in this subgroup of patients.

Table 1. Sensitivity and Specificity of Laboratory Culture and Rapid Strep Test in ''Patients With Recently Treated Cases of Streptococcal Pharyngitis'' (N=443).

<center>
{| class="wikitable" style="text-align:center;" border="2"
|-
! Results || Culture Negative || Culture Positive
|-
| Rapid strep test negative || 93 || 10
|-
| Rapid strep test positive || 4 || 104
|-
| || colspan=2 | Estimate 95% CI
|-
| Sensitivity || 104/(104+10) = 0.91 || 0.84, 0.96
|-
| Specificity || 93/(93+4) = 0.96 || 0.90, 0.99
|-
| Positive predictive value || 0.96 || 0.91, 0.99
|-
| Negative predictive value || 0.90 || 0.83, 0.95
|-
| False-positive rate || 0.04 || 0.01, 0.10
|-
| False-negative rate || 0.09 || 0.04, 0.15
|}
</center>

Table 2. Sensitivity and Specificity of Laboratory Culture and Rapid Strep Test in ''Patients With No Recently Treated Cases of Streptococcal Pharyngitis'' (N=232).

<center>
{| class="wikitable" style="text-align:center;" border="2"
|-
! Results || Culture Negative || Culture Positive
|-
| Rapid strep test negative || 165 || 19
|-
| Rapid strep test positive || 4 || 44
|-
| || colspan=2 | Estimate 95% CI
|-
| Sensitivity || 44/(44+19) = 0.70 || 0.57, 0.81
|-
| Specificity || 168/(165+4) = 0.98 || 0.94, 0.99
|-
| Positive predictive value || 0.92 || 0.80, 0.99
|-
| Negative predictive value || 0.90 || 0.84, 0.94
|-
| False-positive rate || 0.02 || 0.01, 0.06
|-
| False-negative rate || 0.30 || 0.19, 0.43
|}
</center>

===[[EBook_Problems_Hypothesis_Basics|Problems]]===

<hr>

===References===
Robert D. Sheeler, MD, Margaret S. Houston, MD, Sharon Radke, RN, Jane C. Dale, MD, and Steven C. Adamson, MD. (2002) [http://jabfm.org/cgi/content/abstract/15/4/261 Accuracy of Rapid Strep Testing in Patients Who Have Had Recent Streptococcal Pharyngitis]. JABFP, 2002, 15(4), 261-265.

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Hypothesis_Basics}}

SOCR Data Oct2009 ID NI

2013-05-20T22:07:50Z

IvoDinov:

== [[SOCR_Data | SOCR Datasets]] - Normal and Schizophrenia Neuroimaging study of Children ==

===Data Overview===
[[Image:SOCR_Data_Dinov_July2009_NI.png|150px|thumbnail|right| Children Neuroimaging Data]]
This is a [[SOCR_Data_Oct2009_ID_NI#References |neuroimaging study of childhood-onset schizophrenia]]. It uses automated volumetric data processing to obtain different volume measures of local anatomy for schizophrenia patients and age-matched normal controls. The goals of the study were to identify associations and relationships between neuroimaging biomarkers and various subject demographics and traits.

[http://www.socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts] and [http://www.socr.ucla.edu/SOCR_MotionCharts/ SOCR MotionCharts] may be used to render dynamic visualizations of these data. [[SOCR_EduMaterials_ChartsActivities | SOCR Charts help is available here]]. [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses] (e.g., Multivariate Regression Analysis, ANOVA, etc.) may be used to fit models and quantitative assessment of relations between different variables. [[SOCR_EduMaterials_AnalysesActivities | SOCR Analyses help is available here]].

===Data Description===
* Subject: Subject identifier
* Age: Subject Age
* DX: Subject diagnosis (Normals=1; Schizophrenia=2)
* Sex: Subject gender (Male=1; female=2)
* FS_IQ: Subject Intelligence Quotient (IQ)
* TBV: Total Brain Volume
* GMV: Total Gray Matter Volume
* WMV: TOtal White MAtter VOlume
* CSF: Total Cerebrospinal Fluid
* Background: Background volume
* L_superior_frontal_gyrus, R_superior_frontal_gyrus, ..., brainstem: 56 regional cortical and subcortical volumes (region anatomical names are encoded in the column heading).

===Data===
{| class="wikitable" style="text-align:center;" border="2"
|-
! Subject||Age||DX||Sex||FS_IQ||TBV||GMV||WMV||CSF||Background||L_superior_frontal_gyrus||R_superior_frontal_gyrus||L_middle_frontal_gyrus||R_middle_frontal_gyrus||L_inferior_frontal_gyrus||R_inferior_frontal_gyrus||L_precentral_gyrus||R_precentral_gyrus||L_middle_orbitofrontal_gyrus||R_middle_orbitofrontal_gyrus||L_lateral_orbitofrontal_gyrus||R_lateral_orbitofrontal_gyrus||L_gyrus_rectus||R_gyrus_rectus||L_postcentral_gyrus||R_postcentral_gyrus||L_superior_parietal_gyrus||R_superior_parietal_gyrus||L_supramarginal_gyrus||R_supramarginal_gyrus||L_angular_gyrus||R_angular_gyrus||L_precuneus||R_precuneus||L_superior_occipital_gyrus||R_superior_occipital_gyrus||L_middle_occipital_gyrus||R_middle_occipital_gyrus||L_inferior_occipital_gyrus||R_inferior_occipital_gyrus||L_cuneus||R_cuneus||L_superior_temporal_gyrus||R_superior_temporal_gyrus||L_middle_temporal_gyrus||R_middle_temporal_gyrus||L_inferior_temporal_gyrus||R_inferior_temporal_gyrus||L_parahippocampal_gyrus||R_parahippocampal_gyrus||L_lingual_gyrus||R_lingual_gyrus||L_fusiform_gyrus||R_fusiform_gyrus||L_insular_cortex||R_insular_cortex||L_cingulate_gyrus||R_cingulate_gyrus||L_caudate||R_caudate||L_putamen||R_putamen||L_hippocampus||R_hippocampus||cerebellum||brainstem
|-
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|-
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|-
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|}

=== References===
* Katherine L. Narr , Robert M. Bilder , Arthur W. Toga , Roger P. Woods , David E. Rex , Philip R. Szeszko , Delbert Robinson , Serge Sevy , Handan Gunduz-Bruce , Yung-Ping Wang , Heather DeLuca , and Paul M. Thompson. (2005) [http://cercor.oxfordjournals.org/cgi/content/abstract/15/6/708 Mapping Cortical Thickness and Gray Matter Concentration in First Episode Schizophrenia]. Cerebral Cortex Advance Access published on June 1, 2005, DOI 10.1093/cercor/bhh172. Cereb. Cortex 15: 708-719.

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