SOCR - User contributions [en]

SOCR Events Aug2009

2009-06-17T23:21:41Z

Annie: /* Day 1 (Mon 08/10/09) */

== [[SOCR_Events | SOCR Events]]: ''It's Online, Therefore it Exists!'' 2009 [http://www.socr.ucla.edu SOCR] Training & Development Workshop ==
[[Image:SOCR_Webcasts.gif|150px|thumbnail|right| [[SOCR_Events_Aug2009#Workshop_Webcasting | Workshop Webcasting]] ]]

== Title==
''It's Online, Therefore it Exists!'' A Workshop on Technology-Enhanced Probability and Statistics Education Using [[SOCR]] Resources

== Workshop Summary and Goals ==
The 2009 SOCR training, continuing education and development workshop will extend the efforts that started at the [[SOCR_Events_Aug2007 | 2007 SOCR/CAUSEway Workshop]]. The aims of this workshop are to demonstrate the functionality, utilization and assessment of the current SOCR resources in probability and statistics curricula at different levels. The [[SOCR]] Motto ''It's Online, Therefore it Exists!'' clearly indicates that all of these tools, activities and materials are freely available over the Internet to the entire community. This workshop will be of most value to AP teachers and college instructors of probability and statistics classes who have interests in exploring novel technology-enhances approaches for improving statistics education. The workshop will provide an interactive forum for exchange of ideas and recommendations for strategies to integrate computers, modern pedagogical approaches, the Internet and new student assessment techniques.

== Presenters ==
* [http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics]
* [http://directory.stat.ucla.edu/info.php?directory=281 Annie Chu], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics]
* [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics] and [http://www.ccb.ucla.edu Center for Computational Biology]

== Attendees ==
[[SOCR_Events_Aug2009_Attendees | Workshop Attendees List]] & [http://lists.ucla.edu/cgi-bin/mailman/listinfo/socr_workshop_2009 Workshop Email List].

== Logistics==
===Date, Place and Time===
We anticipate being able to host 30-40 workshop participants for this 3-day event. All participants will be partially supported to attend the workshop (room & board), by the [http://www.nsf.gov NSF]-funded [http://www.socr.ucla.edu SOCR] Resource.
* '''Dates''': [http://calendar.ucla.edu/event_detail.php?eid=22483 Mon-Wed, August 10-12, 2009]
* '''Times''': AM & PM Sessions (9AM - 12PM & 1PM - 4:30 PM)
* '''Venue/Place''': [http://www.library.ucla.edu/college/powell/powinfo.htm Powell Library] ([http://www.clicc.ucla.edu/classroom_tools.asp CLICC Classroom C], [http://www.computerlabs.ucla.edu/Info.asp?LabID=4 Powell 320C], [http://www.clicc.ucla.edu/labservices_webcam.asp Powell Building Real-time WebCam], use only the North-West elevator/stairway)
===Accommodation===
* Rooms are reserved in [http://map.ais.ucla.edu/portal/site/UCLA/menuitem.789d0eb6c76e7ef0d66b02ddf848344a/?vgnextoid=2ca0064a9a7d1010VgnVCM1000008f8443a4RCRD UCLA Hedrick Hall] for checking in at 4 PM on Sun 08/09/09 and checking out by 11 AM on Wed 08/12/09. [http://www.catering.ucla.edu/ UCLA Catering] will provide housing and accommodation to all remote participants.
* '''Food''': [http://www.dining.ucla.edu/ Breakfast, lunch and dinner] will be provided. UCLA Dinning AP American Plan will cover all participants staying in the dorms. Participants can use [http://map.ais.ucla.edu/portal/site/UCLA/menuitem.3f8e7342ad4ca217b66d4ab4f848344a/?vgnextoid=6faa0437793d1010VgnVCM1000008f8443a4RCRD De Neve, Rieber, Hedrick and Covel restaurants/cafeterias]. Times for Breakfast, Lunch and Dinner are 7-9AM, 11:30AM-2PM, 5-8PM, respectively.
* '''Local Information''': [http://www.ucla.edu/maps Maps] & [http://wiki.stat.ucla.edu/socr/uploads/f/f0/SOCR_CampusMap_hotels_flat.pdf local visitor information], [http://www.lawa.org/lax/LAXflyAway.cfm direct LAX-Westwood Fly-Away Shuttle] (every 30 min)

===Funding Support===
Participants will be staying at [http://map.ais.ucla.edu/portal/site/UCLA/menuitem.789d0eb6c76e7ef0d66b02ddf848344a/?vgnextoid=2ca0064a9a7d1010VgnVCM1000008f8443a4RCRD UCLA Hedrick Hall] for 3 nights (Aug. 09, 10, 11, 2009), these costs are covered by the conference organizers and will be paid directly. Only no-shows will be charged. [http://www.dining.ucla.edu/ All meals] will be provided during the Workshop. There is no Workshop registration fee nor are there any charges for the Workshop materials which will be distributed. All transportation costs are the attendee's responsibilities.

===Application===
Please register/submit your application, using [http://register.stat.ucla.edu/socr this web-application form]. Please include all the information requested. We will make any effort to invite as many people as we can physically accommodate, however, we can not guarantee that we have the resources to invite all applicants, or to respond to all applicants that may not be selected (we expect a large number of applicants). Women, minorities and persons with disabilities are encouraged to apply. [[SOCR_Events_Aug2009#Workshop_Webcasting | We will be also web-casting the entire workshop. So, if we do not offer you a slot, you may view this event online.]] All applications received before May 01, 2009 will receive full consideration.

===Workshop Webcasting===
* A [http://164.67.141.39:8080/ramgen/socr/workshop2009.smil live webcast (TBD!) of the entire Workshop] will be available during the regular sessions
** Point your browser or your [http://www.real.com/ RealPlayer] to this [http://164.67.141.39:8080/ramgen/socr/workshop2009.smil URL http://164.67.141.39:8080/ramgen/socr/workshop2009.smil] (TBD!)
** [[SOCR_Events_Aug2009#Day_1_.28Mon_08.2F10.2F09.29 | Mon August 10, 2009]]
*** 9 AM - 12 PM Pacific Time (17:00 - 20:00 GMT)
*** 1 - 4:30 PM Pacific Time
** [[SOCR_Events_Aug2009#Day_2_.28Tue_08.2F11.2F09.29 | Tue August 11, 2009]]
*** 9 AM - 12 PM Pacific Time
*** 1 - 4:30 PM Pacific Time
** [[SOCR_Events_Aug2009#Day_3_.28Wed_08.2F12.2F09.29 |Wed August 12, 2009]]
*** 9 AM - 12 PM Pacific Time
* After the workshop the [[SOCR_Events_Aug2009#Postscript | complete webcast will available at the California Digital Library (as MPEG video-stream files)]].

== Program ==
=== Day 1 (Mon 08/10/09) ===
<center>
[[Image:SOCR_Icon_Data.png|150px|thumbnail|right| SOCR Data]]
{| class="wikitable"
|-
! colspan=3|Day 1 (Mon 08/10/09)
|-
|-
! colspan=3|Morning Session - [[SOCR_Data | Open, Diverse, Motivational, Interactive and Web-based SOCR Datasets]] (8AM - 12PM)
|-
| 7:00-8:00 AM || colspan=2| Breakfast, UCLA Cafeteria
|-
| 8:00-9:00 AM || colspan=2| Registration & Coffee
|-
| 9:00-9:10 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov], SOCR Director || Welcome
|-
| 9:10-9:20 AM || Everyone|| [[SOCR_Events_Aug2009_Attendees | Participants Introductions]]
|-
| 9:20-9:30 AM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_Events_SOCR_Workshop2009_GuestAccounts | Guest Accounts]]
|-
| 9:30-9:40 AM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || The State of the SOCR Resource
|-
| rowspan=3|9:40-10:40 AM || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou], SOCR Co-Director || [[SOCR_Data | SOCR Open Motivational Datasets]]
|-
| [[SOCR_Data |Research-derived data]]
|-
| [http://wiki.stat.ucla.edu/niser/index.php/NISER_EduMaterials_GeneralActivities Multi-disciplinary data understanding]
|-
| 10:40-10:50 AM || colspan=2| Morning Break
|-
| rowspan=2|10:50-11:30 AM || rowspan=2|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_Data | SOCR Open Motivational Datasets (cont.)]]
|-
| [[SOCR_EduMaterials_Activities_RNG | Simulated Data (RNG)]]
|-
| 11:30-12:00 PM|| Everyone || Interactive Discussion on generating data and curricular integration of datasets
|-
| 12:00-1:00 PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Lunch Break, UCLA Cafeteria]]
|}
</center>

<center>
[[Image:SOCR_Icon_ToolsActivities.png|150px|thumbnail|right| SOCR Tools]]
{| class="wikitable"
|-
! colspan=3|Afternoon Session - [http://www.socr.ucla.edu/ SOCR Tools] (1:00 - 4:30 PM)
|-
| 1:00-1:30 PM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Distributions.html SOCR Distributions]
|-
| 1:30-2:00 PM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Experiments.html SOCR Experiments]
|-
| 2:00-2:30 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Games.html SOCR Games]
|-
| 2:30-2:45 || colspan=2|Afternoon Break
|-
| 2:45-3:15 || [http://directory.stat.ucla.edu/info.php?directory=281 Annie Chu] || [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses]
|-
| 3:15-3:45 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Modeler.html SOCR Modeler]
|-
| 3:45-4:15 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts]
|-
| 3:45-4:15 || Everyone || Interactive Group Discussion on Tools for Probability & Stats Education - What works, what doesn't, how to extend the collection and enhance the experiences of others?
|-
| 6:30-8:00PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Dinner, UCLA Cafeteria]]
|}
</center>

=== Day 2 (Tue 08/11/09) ===
<center>
[[Image:SOCR_Icon_VirtualDemos.png|150px|thumbnail|right| SOCR Activities and Demos]]
{| class="wikitable"
|-
! colspan=3|Day 2 (Tue 08/11/09)
|-
|-
! colspan=3|Morning Session - [[SOCR_EduMaterials| SOCR Activities]] (9AM - 12PM)
|-
| 7:00-8:30 AM || colspan=2| Breakfast, UCLA Cafeteria
|-
| rowspan=3|9:00-10:00 || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=281 Annie Chu] & [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_AnalysesActivities | SOCR Analyses]]
|-
| [[SOCR_EduMaterials_AnalysisActivities_ANOVA_1 | 1-Way ANOVA]]
|-
| [[SOCR_EduMaterials_AnalysisActivities_SLR | Simple Linear Regression]]
|-
| rowspan=3|10:00-10:30 AM || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_ModelerActivities | Modeler Activities]]
|-
| [[SOCR_EduMaterials_ModelerActivities_NormalBetaModelFit | Normal and Beta Model Fitting Activity]]
|-
| [[SOCR_EduMaterials_ModelerActivities_MixtureModel_1 | SOCR Mixture Model Fitting Activity]]
|-
| 10:30-10:40 AM || colspan=2| Morning Break
|-
| rowspan=3|10:40-11:40 AM || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou] || [[SOCR_EduMaterials_DistributionsActivities | Distribution Activities]]
|-
| [[SOCR_EduMaterials_Activities_Normal_Distributions | Normal Distribution Activity]]
|-
| [[SOCR_EduMaterials_Activities_Explore_Distributions | Exploring the relationships between distributions]]
|-
| 11:40-12:00 PM|| Everyone || Group Interactive Discussion on Hands-on Activities - What works, what doesn't, how to extend the collection and how improve teaching of statistical analysis methodologies?
|-
| 12:00-1:00 PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Lunch Break, UCLA Cafeteria]]
|}
</center>

<center>
{| class="wikitable"
|-
! colspan=3|Afternoon Session - [[SOCR_EduMaterials | SOCR Activities (cont.)]] (1:00 - 4:30 PM)
|-
| 1:00-2:15 PM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | Central Limit Theorem (CLT)]]
|-
| rowspan=2|2:15-2:45 PM || rowspan=2|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Experiments.html SOCR Experiments]
|-
| [http://socr.ucla.edu/SOCR_HT_ResourceViewer.html Hyperbolic] and [http://socr.ucla.edu/Carousel Carousel] Navigators
|-
| 2:45-3:00 PM || colspan=2|Afternoon Break
|-
| 3:00-3:45 PM || [http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou] || [[SOCR_EduMaterials_ExperimentsActivities | Confidence Interval Activity]]
|-
| rowspan=2|3:45-4:30 PM || rowspan=2|[http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou] || [http://socr.ucla.edu/htmls/app SOCR Application Activities]
|-
| [http://socr.ucla.edu/htmls/app Portfolio Rick Management]
|-
| 4:30-4:45 PM || Everyone || Interactive Group Discussion on Hands-on Activities - What works, what doesn't, how to extend the collection and enhance the experiences of others?
|-
| 6:30-8:00PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Dinner, UCLA Cafeteria]]
|}
</center>

=== Day 3 (Wed 08/12/09) ===
<center>
[[Image:SOCR_Icon_Infrastructure.png|150px|thumbnail|right| SOCR Infrastructure]]
{| class="wikitable"
|-
! colspan=3|Day 3 (Wed 08/12/09)
|-
|-
! colspan=3|Morning Session - [[SOCR_EduMaterials| SOCR Activities]] (9AM - 12PM)
|-
| 7:00-8:30 AM || colspan=2| Breakfast, UCLA Cafeteria
|-
| rowspan=4|9:00-10:15 AM || rowspan=4|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_ChartsActivities | Exploratory Data Analyses (EDA)]]
|-
| [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts]
|-
| [http://socr.ucla.edu/APStats SOCR AP Stats materials]
|-
| [[SOCR_EduMaterials_ChartsActivities | SOCR Charts Activities]]
|-
| 10:15-10:30 AM || colspan=2| Morning Break
|-
| 10:30-11:30 AM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_Activities_LawOfLargeNumbers | Law of Large Numbers (LLN)]]
|-
| 11:30-11:45 AM || Everyone || Group Interactive Discussion on Hands-on Activities – What works, what doesn’t, how to extend the collection and how improve teaching of statistical analysis methodologies?
|-
| 11:45-12:00 PM || colspan=2| Workshop Evaluation by Participants
|-
| 12:00-1:00 PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Lunch Break, UCLA Cafeteria]]
|-
! 1:00-4:00 PM || colspan=2|Afternoon Session - [http://www.getty.edu Visit to J. Paul Getty Museum]
|}
</center>

== Sponsorship ==
{| style="margin: 1em auto 1em auto" border="3"
|-
| [[Image:SOCR Logo Static.GIF|link=socr|80px|]] || [[Image:UCLA Statistics Logo.gif|link=http://www.socr.ucla.edu|80px|]] || [[Image:UCLA Logo.gif|link=http://www.socr.ucla.edu|80px|]] || [[Image:NSF_Logo.jpg|link=http://www.nsf.gov|80px|]]
|-
| [http://www.socr.ucla.edu SOCR] || [http://www.stat.ucla.edu/ UCLA Statistics] || [http://www.oid.ucla.edu/ UCLA OID] || [http://www.nsf.gov NSF]
|}

== Additional Workshop Resources ==
* [http://lists.ucla.edu/cgi-bin/mailman/listinfo/socr_workshop_2009 Attendees Email List] ([http://lists.ucla.edu/cgi-bin/mailman/admin/socr_workshop_2009 admin])
* [[SOCR_CommunityPortal_Events_Aug2009 | SOCR Workshop Community Portal]] & [http://wiki.stat.ucla.edu/socr/index.php/SOCR_UserFeedback SOCR Blog]
* [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR User Log Geo-Map] & [http://wiki.stat.ucla.edu/socr/uploads/b/bb/SOCR_CampusMap_hotels_flat_2007.pdf Campus Map]
* [[SOCR_Events_Aug2009_Postings]]
* [http://wiki.stat.ucla.edu/socr/uploads/a/a6/Certificate_SOCR_Workshop2009.pdf SOCR Continuing Statistics Education Training Certificate] (template)
* [http://wiki.stat.ucla.edu/socr/uploads/a/af/SOCR_2009_WorkshopFlier1.pdf Workshop Flier (PDF)] (0.4MB) and [http://wiki.stat.ucla.edu/socr/uploads/7/78/SOCR_2009_WorkshopFlier.pdf Workshop Flier (PDF)] (2MB)

==SOCR Teaching Statistics with Technology EBook==
The complete SOCR Teaching Statistics with Technology EBook is freely available in PDF format from the following digital libraries:
* PDF (TBD)
* ISBN 978-0-615-30464-9

==Postscript==
* Photos (TBD)

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_Aug2009}}

SOCR Events Aug2009

2009-06-17T23:21:06Z

Annie: /* Day 2 (Tue 08/11/09) */

== [[SOCR_Events | SOCR Events]]: ''It's Online, Therefore it Exists!'' 2009 [http://www.socr.ucla.edu SOCR] Training & Development Workshop ==
[[Image:SOCR_Webcasts.gif|150px|thumbnail|right| [[SOCR_Events_Aug2009#Workshop_Webcasting | Workshop Webcasting]] ]]

== Title==
''It's Online, Therefore it Exists!'' A Workshop on Technology-Enhanced Probability and Statistics Education Using [[SOCR]] Resources

== Workshop Summary and Goals ==
The 2009 SOCR training, continuing education and development workshop will extend the efforts that started at the [[SOCR_Events_Aug2007 | 2007 SOCR/CAUSEway Workshop]]. The aims of this workshop are to demonstrate the functionality, utilization and assessment of the current SOCR resources in probability and statistics curricula at different levels. The [[SOCR]] Motto ''It's Online, Therefore it Exists!'' clearly indicates that all of these tools, activities and materials are freely available over the Internet to the entire community. This workshop will be of most value to AP teachers and college instructors of probability and statistics classes who have interests in exploring novel technology-enhances approaches for improving statistics education. The workshop will provide an interactive forum for exchange of ideas and recommendations for strategies to integrate computers, modern pedagogical approaches, the Internet and new student assessment techniques.

== Presenters ==
* [http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics]
* [http://directory.stat.ucla.edu/info.php?directory=281 Annie Chu], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics]
* [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics] and [http://www.ccb.ucla.edu Center for Computational Biology]

== Attendees ==
[[SOCR_Events_Aug2009_Attendees | Workshop Attendees List]] & [http://lists.ucla.edu/cgi-bin/mailman/listinfo/socr_workshop_2009 Workshop Email List].

== Logistics==
===Date, Place and Time===
We anticipate being able to host 30-40 workshop participants for this 3-day event. All participants will be partially supported to attend the workshop (room & board), by the [http://www.nsf.gov NSF]-funded [http://www.socr.ucla.edu SOCR] Resource.
* '''Dates''': [http://calendar.ucla.edu/event_detail.php?eid=22483 Mon-Wed, August 10-12, 2009]
* '''Times''': AM & PM Sessions (9AM - 12PM & 1PM - 4:30 PM)
* '''Venue/Place''': [http://www.library.ucla.edu/college/powell/powinfo.htm Powell Library] ([http://www.clicc.ucla.edu/classroom_tools.asp CLICC Classroom C], [http://www.computerlabs.ucla.edu/Info.asp?LabID=4 Powell 320C], [http://www.clicc.ucla.edu/labservices_webcam.asp Powell Building Real-time WebCam], use only the North-West elevator/stairway)
===Accommodation===
* Rooms are reserved in [http://map.ais.ucla.edu/portal/site/UCLA/menuitem.789d0eb6c76e7ef0d66b02ddf848344a/?vgnextoid=2ca0064a9a7d1010VgnVCM1000008f8443a4RCRD UCLA Hedrick Hall] for checking in at 4 PM on Sun 08/09/09 and checking out by 11 AM on Wed 08/12/09. [http://www.catering.ucla.edu/ UCLA Catering] will provide housing and accommodation to all remote participants.
* '''Food''': [http://www.dining.ucla.edu/ Breakfast, lunch and dinner] will be provided. UCLA Dinning AP American Plan will cover all participants staying in the dorms. Participants can use [http://map.ais.ucla.edu/portal/site/UCLA/menuitem.3f8e7342ad4ca217b66d4ab4f848344a/?vgnextoid=6faa0437793d1010VgnVCM1000008f8443a4RCRD De Neve, Rieber, Hedrick and Covel restaurants/cafeterias]. Times for Breakfast, Lunch and Dinner are 7-9AM, 11:30AM-2PM, 5-8PM, respectively.
* '''Local Information''': [http://www.ucla.edu/maps Maps] & [http://wiki.stat.ucla.edu/socr/uploads/f/f0/SOCR_CampusMap_hotels_flat.pdf local visitor information], [http://www.lawa.org/lax/LAXflyAway.cfm direct LAX-Westwood Fly-Away Shuttle] (every 30 min)

===Funding Support===
Participants will be staying at [http://map.ais.ucla.edu/portal/site/UCLA/menuitem.789d0eb6c76e7ef0d66b02ddf848344a/?vgnextoid=2ca0064a9a7d1010VgnVCM1000008f8443a4RCRD UCLA Hedrick Hall] for 3 nights (Aug. 09, 10, 11, 2009), these costs are covered by the conference organizers and will be paid directly. Only no-shows will be charged. [http://www.dining.ucla.edu/ All meals] will be provided during the Workshop. There is no Workshop registration fee nor are there any charges for the Workshop materials which will be distributed. All transportation costs are the attendee's responsibilities.

===Application===
Please register/submit your application, using [http://register.stat.ucla.edu/socr this web-application form]. Please include all the information requested. We will make any effort to invite as many people as we can physically accommodate, however, we can not guarantee that we have the resources to invite all applicants, or to respond to all applicants that may not be selected (we expect a large number of applicants). Women, minorities and persons with disabilities are encouraged to apply. [[SOCR_Events_Aug2009#Workshop_Webcasting | We will be also web-casting the entire workshop. So, if we do not offer you a slot, you may view this event online.]] All applications received before May 01, 2009 will receive full consideration.

===Workshop Webcasting===
* A [http://164.67.141.39:8080/ramgen/socr/workshop2009.smil live webcast (TBD!) of the entire Workshop] will be available during the regular sessions
** Point your browser or your [http://www.real.com/ RealPlayer] to this [http://164.67.141.39:8080/ramgen/socr/workshop2009.smil URL http://164.67.141.39:8080/ramgen/socr/workshop2009.smil] (TBD!)
** [[SOCR_Events_Aug2009#Day_1_.28Mon_08.2F10.2F09.29 | Mon August 10, 2009]]
*** 9 AM - 12 PM Pacific Time (17:00 - 20:00 GMT)
*** 1 - 4:30 PM Pacific Time
** [[SOCR_Events_Aug2009#Day_2_.28Tue_08.2F11.2F09.29 | Tue August 11, 2009]]
*** 9 AM - 12 PM Pacific Time
*** 1 - 4:30 PM Pacific Time
** [[SOCR_Events_Aug2009#Day_3_.28Wed_08.2F12.2F09.29 |Wed August 12, 2009]]
*** 9 AM - 12 PM Pacific Time
* After the workshop the [[SOCR_Events_Aug2009#Postscript | complete webcast will available at the California Digital Library (as MPEG video-stream files)]].

== Program ==
=== Day 1 (Mon 08/10/09) ===
<center>
[[Image:SOCR_Icon_Data.png|150px|thumbnail|right| SOCR Data]]
{| class="wikitable"
|-
! colspan=3|Day 1 (Mon 08/10/09)
|-
|-
! colspan=3|Morning Session - [[SOCR_Data | Open, Diverse, Motivational, Interactive and Web-based SOCR Datasets]] (8AM - 12PM)
|-
| 7:00-8:00 AM || colspan=2| Breakfast, UCLA Cafeteria
|-
| 8:00-9:00 AM || colspan=2| Registration & Coffee
|-
| 9:00-9:10 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov], SOCR Director || Welcome
|-
| 9:10-9:20 AM || Everyone|| [[SOCR_Events_Aug2009_Attendees | Participants Introductions]]
|-
| 9:20-9:30 AM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_Events_SOCR_Workshop2009_GuestAccounts | Guest Accounts]]
|-
| 9:30-9:40 AM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || The State of the SOCR Resource
|-
| rowspan=3|9:40-10:40 AM || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou], SOCR Co-Director || [[SOCR_Data | SOCR Open Motivational Datasets]]
|-
| [[SOCR_Data |Research-derived data]]
|-
| [http://wiki.stat.ucla.edu/niser/index.php/NISER_EduMaterials_GeneralActivities Multi-disciplinary data understanding]
|-
| 10:40-10:50 AM || colspan=2| Morning Break
|-
| rowspan=2|10:50-11:30 AM || rowspan=2|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_Data | SOCR Open Motivational Datasets (cont.)]]
|-
| [[SOCR_EduMaterials_Activities_RNG | Simulated Data (RNG)]]
|-
| 11:30-12:00 PM|| Everyone || Interactive Discussion on generating data and curricular integration of datasets
|-
| 12:00-1:00 PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Lunch Break, UCLA Cafeteria]]
|}
</center>

<center>
[[Image:SOCR_Icon_ToolsActivities.png|150px|thumbnail|right| SOCR Tools]]
{| class="wikitable"
|-
! colspan=3|Afternoon Session - [http://www.socr.ucla.edu/ SOCR Tools] (1:00 - 4:30 PM)
|-
| 1:00-1:30 PM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Distributions.html SOCR Distributions]
|-
| 1:30-2:00 PM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Experiments.html SOCR Experiments]
|-
| 2:00-2:30 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Games.html SOCR Games]
|-
| 2:30-2:45 || colspan=2|Afternoon Break
|-
| 2:45-3:15 || [http://directory.stat.ucla.edu/info.php?directory=281 Annie Che] || [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses]
|-
| 3:15-3:45 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Modeler.html SOCR Modeler]
|-
| 3:45-4:15 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts]
|-
| 3:45-4:15 || Everyone || Interactive Group Discussion on Tools for Probability & Stats Education - What works, what doesn't, how to extend the collection and enhance the experiences of others?
|-
| 6:30-8:00PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Dinner, UCLA Cafeteria]]
|}
</center>

=== Day 2 (Tue 08/11/09) ===
<center>
[[Image:SOCR_Icon_VirtualDemos.png|150px|thumbnail|right| SOCR Activities and Demos]]
{| class="wikitable"
|-
! colspan=3|Day 2 (Tue 08/11/09)
|-
|-
! colspan=3|Morning Session - [[SOCR_EduMaterials| SOCR Activities]] (9AM - 12PM)
|-
| 7:00-8:30 AM || colspan=2| Breakfast, UCLA Cafeteria
|-
| rowspan=3|9:00-10:00 || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=281 Annie Chu] & [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_AnalysesActivities | SOCR Analyses]]
|-
| [[SOCR_EduMaterials_AnalysisActivities_ANOVA_1 | 1-Way ANOVA]]
|-
| [[SOCR_EduMaterials_AnalysisActivities_SLR | Simple Linear Regression]]
|-
| rowspan=3|10:00-10:30 AM || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_ModelerActivities | Modeler Activities]]
|-
| [[SOCR_EduMaterials_ModelerActivities_NormalBetaModelFit | Normal and Beta Model Fitting Activity]]
|-
| [[SOCR_EduMaterials_ModelerActivities_MixtureModel_1 | SOCR Mixture Model Fitting Activity]]
|-
| 10:30-10:40 AM || colspan=2| Morning Break
|-
| rowspan=3|10:40-11:40 AM || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou] || [[SOCR_EduMaterials_DistributionsActivities | Distribution Activities]]
|-
| [[SOCR_EduMaterials_Activities_Normal_Distributions | Normal Distribution Activity]]
|-
| [[SOCR_EduMaterials_Activities_Explore_Distributions | Exploring the relationships between distributions]]
|-
| 11:40-12:00 PM|| Everyone || Group Interactive Discussion on Hands-on Activities - What works, what doesn't, how to extend the collection and how improve teaching of statistical analysis methodologies?
|-
| 12:00-1:00 PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Lunch Break, UCLA Cafeteria]]
|}
</center>

<center>
{| class="wikitable"
|-
! colspan=3|Afternoon Session - [[SOCR_EduMaterials | SOCR Activities (cont.)]] (1:00 - 4:30 PM)
|-
| 1:00-2:15 PM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | Central Limit Theorem (CLT)]]
|-
| rowspan=2|2:15-2:45 PM || rowspan=2|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Experiments.html SOCR Experiments]
|-
| [http://socr.ucla.edu/SOCR_HT_ResourceViewer.html Hyperbolic] and [http://socr.ucla.edu/Carousel Carousel] Navigators
|-
| 2:45-3:00 PM || colspan=2|Afternoon Break
|-
| 3:00-3:45 PM || [http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou] || [[SOCR_EduMaterials_ExperimentsActivities | Confidence Interval Activity]]
|-
| rowspan=2|3:45-4:30 PM || rowspan=2|[http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou] || [http://socr.ucla.edu/htmls/app SOCR Application Activities]
|-
| [http://socr.ucla.edu/htmls/app Portfolio Rick Management]
|-
| 4:30-4:45 PM || Everyone || Interactive Group Discussion on Hands-on Activities - What works, what doesn't, how to extend the collection and enhance the experiences of others?
|-
| 6:30-8:00PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Dinner, UCLA Cafeteria]]
|}
</center>

=== Day 3 (Wed 08/12/09) ===
<center>
[[Image:SOCR_Icon_Infrastructure.png|150px|thumbnail|right| SOCR Infrastructure]]
{| class="wikitable"
|-
! colspan=3|Day 3 (Wed 08/12/09)
|-
|-
! colspan=3|Morning Session - [[SOCR_EduMaterials| SOCR Activities]] (9AM - 12PM)
|-
| 7:00-8:30 AM || colspan=2| Breakfast, UCLA Cafeteria
|-
| rowspan=4|9:00-10:15 AM || rowspan=4|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_ChartsActivities | Exploratory Data Analyses (EDA)]]
|-
| [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts]
|-
| [http://socr.ucla.edu/APStats SOCR AP Stats materials]
|-
| [[SOCR_EduMaterials_ChartsActivities | SOCR Charts Activities]]
|-
| 10:15-10:30 AM || colspan=2| Morning Break
|-
| 10:30-11:30 AM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_Activities_LawOfLargeNumbers | Law of Large Numbers (LLN)]]
|-
| 11:30-11:45 AM || Everyone || Group Interactive Discussion on Hands-on Activities – What works, what doesn’t, how to extend the collection and how improve teaching of statistical analysis methodologies?
|-
| 11:45-12:00 PM || colspan=2| Workshop Evaluation by Participants
|-
| 12:00-1:00 PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Lunch Break, UCLA Cafeteria]]
|-
! 1:00-4:00 PM || colspan=2|Afternoon Session - [http://www.getty.edu Visit to J. Paul Getty Museum]
|}
</center>

== Sponsorship ==
{| style="margin: 1em auto 1em auto" border="3"
|-
| [[Image:SOCR Logo Static.GIF|link=socr|80px|]] || [[Image:UCLA Statistics Logo.gif|link=http://www.socr.ucla.edu|80px|]] || [[Image:UCLA Logo.gif|link=http://www.socr.ucla.edu|80px|]] || [[Image:NSF_Logo.jpg|link=http://www.nsf.gov|80px|]]
|-
| [http://www.socr.ucla.edu SOCR] || [http://www.stat.ucla.edu/ UCLA Statistics] || [http://www.oid.ucla.edu/ UCLA OID] || [http://www.nsf.gov NSF]
|}

== Additional Workshop Resources ==
* [http://lists.ucla.edu/cgi-bin/mailman/listinfo/socr_workshop_2009 Attendees Email List] ([http://lists.ucla.edu/cgi-bin/mailman/admin/socr_workshop_2009 admin])
* [[SOCR_CommunityPortal_Events_Aug2009 | SOCR Workshop Community Portal]] & [http://wiki.stat.ucla.edu/socr/index.php/SOCR_UserFeedback SOCR Blog]
* [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR User Log Geo-Map] & [http://wiki.stat.ucla.edu/socr/uploads/b/bb/SOCR_CampusMap_hotels_flat_2007.pdf Campus Map]
* [[SOCR_Events_Aug2009_Postings]]
* [http://wiki.stat.ucla.edu/socr/uploads/a/a6/Certificate_SOCR_Workshop2009.pdf SOCR Continuing Statistics Education Training Certificate] (template)
* [http://wiki.stat.ucla.edu/socr/uploads/a/af/SOCR_2009_WorkshopFlier1.pdf Workshop Flier (PDF)] (0.4MB) and [http://wiki.stat.ucla.edu/socr/uploads/7/78/SOCR_2009_WorkshopFlier.pdf Workshop Flier (PDF)] (2MB)

==SOCR Teaching Statistics with Technology EBook==
The complete SOCR Teaching Statistics with Technology EBook is freely available in PDF format from the following digital libraries:
* PDF (TBD)
* ISBN 978-0-615-30464-9

==Postscript==
* Photos (TBD)

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_Aug2009}}

SOCR Events Aug2009

2009-06-17T23:19:46Z

Annie: /* Presenters */

== [[SOCR_Events | SOCR Events]]: ''It's Online, Therefore it Exists!'' 2009 [http://www.socr.ucla.edu SOCR] Training & Development Workshop ==
[[Image:SOCR_Webcasts.gif|150px|thumbnail|right| [[SOCR_Events_Aug2009#Workshop_Webcasting | Workshop Webcasting]] ]]

== Title==
''It's Online, Therefore it Exists!'' A Workshop on Technology-Enhanced Probability and Statistics Education Using [[SOCR]] Resources

== Workshop Summary and Goals ==
The 2009 SOCR training, continuing education and development workshop will extend the efforts that started at the [[SOCR_Events_Aug2007 | 2007 SOCR/CAUSEway Workshop]]. The aims of this workshop are to demonstrate the functionality, utilization and assessment of the current SOCR resources in probability and statistics curricula at different levels. The [[SOCR]] Motto ''It's Online, Therefore it Exists!'' clearly indicates that all of these tools, activities and materials are freely available over the Internet to the entire community. This workshop will be of most value to AP teachers and college instructors of probability and statistics classes who have interests in exploring novel technology-enhances approaches for improving statistics education. The workshop will provide an interactive forum for exchange of ideas and recommendations for strategies to integrate computers, modern pedagogical approaches, the Internet and new student assessment techniques.

== Presenters ==
* [http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics]
* [http://directory.stat.ucla.edu/info.php?directory=281 Annie Chu], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics]
* [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov], [http://www.ucla.edu UCLA] [http://www.stat.ucla.edu Statistics] and [http://www.ccb.ucla.edu Center for Computational Biology]

== Attendees ==
[[SOCR_Events_Aug2009_Attendees | Workshop Attendees List]] & [http://lists.ucla.edu/cgi-bin/mailman/listinfo/socr_workshop_2009 Workshop Email List].

== Logistics==
===Date, Place and Time===
We anticipate being able to host 30-40 workshop participants for this 3-day event. All participants will be partially supported to attend the workshop (room & board), by the [http://www.nsf.gov NSF]-funded [http://www.socr.ucla.edu SOCR] Resource.
* '''Dates''': [http://calendar.ucla.edu/event_detail.php?eid=22483 Mon-Wed, August 10-12, 2009]
* '''Times''': AM & PM Sessions (9AM - 12PM & 1PM - 4:30 PM)
* '''Venue/Place''': [http://www.library.ucla.edu/college/powell/powinfo.htm Powell Library] ([http://www.clicc.ucla.edu/classroom_tools.asp CLICC Classroom C], [http://www.computerlabs.ucla.edu/Info.asp?LabID=4 Powell 320C], [http://www.clicc.ucla.edu/labservices_webcam.asp Powell Building Real-time WebCam], use only the North-West elevator/stairway)
===Accommodation===
* Rooms are reserved in [http://map.ais.ucla.edu/portal/site/UCLA/menuitem.789d0eb6c76e7ef0d66b02ddf848344a/?vgnextoid=2ca0064a9a7d1010VgnVCM1000008f8443a4RCRD UCLA Hedrick Hall] for checking in at 4 PM on Sun 08/09/09 and checking out by 11 AM on Wed 08/12/09. [http://www.catering.ucla.edu/ UCLA Catering] will provide housing and accommodation to all remote participants.
* '''Food''': [http://www.dining.ucla.edu/ Breakfast, lunch and dinner] will be provided. UCLA Dinning AP American Plan will cover all participants staying in the dorms. Participants can use [http://map.ais.ucla.edu/portal/site/UCLA/menuitem.3f8e7342ad4ca217b66d4ab4f848344a/?vgnextoid=6faa0437793d1010VgnVCM1000008f8443a4RCRD De Neve, Rieber, Hedrick and Covel restaurants/cafeterias]. Times for Breakfast, Lunch and Dinner are 7-9AM, 11:30AM-2PM, 5-8PM, respectively.
* '''Local Information''': [http://www.ucla.edu/maps Maps] & [http://wiki.stat.ucla.edu/socr/uploads/f/f0/SOCR_CampusMap_hotels_flat.pdf local visitor information], [http://www.lawa.org/lax/LAXflyAway.cfm direct LAX-Westwood Fly-Away Shuttle] (every 30 min)

===Funding Support===
Participants will be staying at [http://map.ais.ucla.edu/portal/site/UCLA/menuitem.789d0eb6c76e7ef0d66b02ddf848344a/?vgnextoid=2ca0064a9a7d1010VgnVCM1000008f8443a4RCRD UCLA Hedrick Hall] for 3 nights (Aug. 09, 10, 11, 2009), these costs are covered by the conference organizers and will be paid directly. Only no-shows will be charged. [http://www.dining.ucla.edu/ All meals] will be provided during the Workshop. There is no Workshop registration fee nor are there any charges for the Workshop materials which will be distributed. All transportation costs are the attendee's responsibilities.

===Application===
Please register/submit your application, using [http://register.stat.ucla.edu/socr this web-application form]. Please include all the information requested. We will make any effort to invite as many people as we can physically accommodate, however, we can not guarantee that we have the resources to invite all applicants, or to respond to all applicants that may not be selected (we expect a large number of applicants). Women, minorities and persons with disabilities are encouraged to apply. [[SOCR_Events_Aug2009#Workshop_Webcasting | We will be also web-casting the entire workshop. So, if we do not offer you a slot, you may view this event online.]] All applications received before May 01, 2009 will receive full consideration.

===Workshop Webcasting===
* A [http://164.67.141.39:8080/ramgen/socr/workshop2009.smil live webcast (TBD!) of the entire Workshop] will be available during the regular sessions
** Point your browser or your [http://www.real.com/ RealPlayer] to this [http://164.67.141.39:8080/ramgen/socr/workshop2009.smil URL http://164.67.141.39:8080/ramgen/socr/workshop2009.smil] (TBD!)
** [[SOCR_Events_Aug2009#Day_1_.28Mon_08.2F10.2F09.29 | Mon August 10, 2009]]
*** 9 AM - 12 PM Pacific Time (17:00 - 20:00 GMT)
*** 1 - 4:30 PM Pacific Time
** [[SOCR_Events_Aug2009#Day_2_.28Tue_08.2F11.2F09.29 | Tue August 11, 2009]]
*** 9 AM - 12 PM Pacific Time
*** 1 - 4:30 PM Pacific Time
** [[SOCR_Events_Aug2009#Day_3_.28Wed_08.2F12.2F09.29 |Wed August 12, 2009]]
*** 9 AM - 12 PM Pacific Time
* After the workshop the [[SOCR_Events_Aug2009#Postscript | complete webcast will available at the California Digital Library (as MPEG video-stream files)]].

== Program ==
=== Day 1 (Mon 08/10/09) ===
<center>
[[Image:SOCR_Icon_Data.png|150px|thumbnail|right| SOCR Data]]
{| class="wikitable"
|-
! colspan=3|Day 1 (Mon 08/10/09)
|-
|-
! colspan=3|Morning Session - [[SOCR_Data | Open, Diverse, Motivational, Interactive and Web-based SOCR Datasets]] (8AM - 12PM)
|-
| 7:00-8:00 AM || colspan=2| Breakfast, UCLA Cafeteria
|-
| 8:00-9:00 AM || colspan=2| Registration & Coffee
|-
| 9:00-9:10 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov], SOCR Director || Welcome
|-
| 9:10-9:20 AM || Everyone|| [[SOCR_Events_Aug2009_Attendees | Participants Introductions]]
|-
| 9:20-9:30 AM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_Events_SOCR_Workshop2009_GuestAccounts | Guest Accounts]]
|-
| 9:30-9:40 AM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || The State of the SOCR Resource
|-
| rowspan=3|9:40-10:40 AM || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou], SOCR Co-Director || [[SOCR_Data | SOCR Open Motivational Datasets]]
|-
| [[SOCR_Data |Research-derived data]]
|-
| [http://wiki.stat.ucla.edu/niser/index.php/NISER_EduMaterials_GeneralActivities Multi-disciplinary data understanding]
|-
| 10:40-10:50 AM || colspan=2| Morning Break
|-
| rowspan=2|10:50-11:30 AM || rowspan=2|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_Data | SOCR Open Motivational Datasets (cont.)]]
|-
| [[SOCR_EduMaterials_Activities_RNG | Simulated Data (RNG)]]
|-
| 11:30-12:00 PM|| Everyone || Interactive Discussion on generating data and curricular integration of datasets
|-
| 12:00-1:00 PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Lunch Break, UCLA Cafeteria]]
|}
</center>

<center>
[[Image:SOCR_Icon_ToolsActivities.png|150px|thumbnail|right| SOCR Tools]]
{| class="wikitable"
|-
! colspan=3|Afternoon Session - [http://www.socr.ucla.edu/ SOCR Tools] (1:00 - 4:30 PM)
|-
| 1:00-1:30 PM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Distributions.html SOCR Distributions]
|-
| 1:30-2:00 PM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Experiments.html SOCR Experiments]
|-
| 2:00-2:30 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Games.html SOCR Games]
|-
| 2:30-2:45 || colspan=2|Afternoon Break
|-
| 2:45-3:15 || [http://directory.stat.ucla.edu/info.php?directory=281 Annie Che] || [http://socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses]
|-
| 3:15-3:45 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Modeler.html SOCR Modeler]
|-
| 3:45-4:15 || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts]
|-
| 3:45-4:15 || Everyone || Interactive Group Discussion on Tools for Probability & Stats Education - What works, what doesn't, how to extend the collection and enhance the experiences of others?
|-
| 6:30-8:00PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Dinner, UCLA Cafeteria]]
|}
</center>

=== Day 2 (Tue 08/11/09) ===
<center>
[[Image:SOCR_Icon_VirtualDemos.png|150px|thumbnail|right| SOCR Activities and Demos]]
{| class="wikitable"
|-
! colspan=3|Day 2 (Tue 08/11/09)
|-
|-
! colspan=3|Morning Session - [[SOCR_EduMaterials| SOCR Activities]] (9AM - 12PM)
|-
| 7:00-8:30 AM || colspan=2| Breakfast, UCLA Cafeteria
|-
| rowspan=3|9:00-10:00 || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=281 Annie Che] & [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_AnalysesActivities | SOCR Analyses]]
|-
| [[SOCR_EduMaterials_AnalysisActivities_ANOVA_1 | 1-Way ANOVA]]
|-
| [[SOCR_EduMaterials_AnalysisActivities_SLR | Simple Linear Regression]]
|-
| rowspan=3|10:00-10:30 AM || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_ModelerActivities | Modeler Activities]]
|-
| [[SOCR_EduMaterials_ModelerActivities_NormalBetaModelFit | Normal and Beta Model Fitting Activity]]
|-
| [[SOCR_EduMaterials_ModelerActivities_MixtureModel_1 | SOCR Mixture Model Fitting Activity]]
|-
| 10:30-10:40 AM || colspan=2| Morning Break
|-
| rowspan=3|10:40-11:40 AM || rowspan=3|[http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou] || [[SOCR_EduMaterials_DistributionsActivities | Distribution Activities]]
|-
| [[SOCR_EduMaterials_Activities_Normal_Distributions | Normal Distribution Activity]]
|-
| [[SOCR_EduMaterials_Activities_Explore_Distributions | Exploring the relationships between distributions]]
|-
| 11:40-12:00 PM|| Everyone || Group Interactive Discussion on Hands-on Activities - What works, what doesn't, how to extend the collection and how improve teaching of statistical analysis methodologies?
|-
| 12:00-1:00 PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Lunch Break, UCLA Cafeteria]]
|}
</center>

<center>
{| class="wikitable"
|-
! colspan=3|Afternoon Session - [[SOCR_EduMaterials | SOCR Activities (cont.)]] (1:00 - 4:30 PM)
|-
| 1:00-2:15 PM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_Activities_GeneralCentralLimitTheorem | Central Limit Theorem (CLT)]]
|-
| rowspan=2|2:15-2:45 PM || rowspan=2|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [http://socr.ucla.edu/htmls/SOCR_Experiments.html SOCR Experiments]
|-
| [http://socr.ucla.edu/SOCR_HT_ResourceViewer.html Hyperbolic] and [http://socr.ucla.edu/Carousel Carousel] Navigators
|-
| 2:45-3:00 PM || colspan=2|Afternoon Break
|-
| 3:00-3:45 PM || [http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou] || [[SOCR_EduMaterials_ExperimentsActivities | Confidence Interval Activity]]
|-
| rowspan=2|3:45-4:30 PM || rowspan=2|[http://directory.stat.ucla.edu/info.php?directory=3 Nicolas Christou] || [http://socr.ucla.edu/htmls/app SOCR Application Activities]
|-
| [http://socr.ucla.edu/htmls/app Portfolio Rick Management]
|-
| 4:30-4:45 PM || Everyone || Interactive Group Discussion on Hands-on Activities - What works, what doesn't, how to extend the collection and enhance the experiences of others?
|-
| 6:30-8:00PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Dinner, UCLA Cafeteria]]
|}
</center>

=== Day 3 (Wed 08/12/09) ===
<center>
[[Image:SOCR_Icon_Infrastructure.png|150px|thumbnail|right| SOCR Infrastructure]]
{| class="wikitable"
|-
! colspan=3|Day 3 (Wed 08/12/09)
|-
|-
! colspan=3|Morning Session - [[SOCR_EduMaterials| SOCR Activities]] (9AM - 12PM)
|-
| 7:00-8:30 AM || colspan=2| Breakfast, UCLA Cafeteria
|-
| rowspan=4|9:00-10:15 AM || rowspan=4|[http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_ChartsActivities | Exploratory Data Analyses (EDA)]]
|-
| [http://socr.ucla.edu/htmls/SOCR_Charts.html SOCR Charts]
|-
| [http://socr.ucla.edu/APStats SOCR AP Stats materials]
|-
| [[SOCR_EduMaterials_ChartsActivities | SOCR Charts Activities]]
|-
| 10:15-10:30 AM || colspan=2| Morning Break
|-
| 10:30-11:30 AM || [http://directory.stat.ucla.edu/info.php?directory=146 Ivo Dinov] || [[SOCR_EduMaterials_Activities_LawOfLargeNumbers | Law of Large Numbers (LLN)]]
|-
| 11:30-11:45 AM || Everyone || Group Interactive Discussion on Hands-on Activities – What works, what doesn’t, how to extend the collection and how improve teaching of statistical analysis methodologies?
|-
| 11:45-12:00 PM || colspan=2| Workshop Evaluation by Participants
|-
| 12:00-1:00 PM || colspan=2| [[SOCR_Events_Aug2009#Logistics.2C_Application_.26_Registration | Lunch Break, UCLA Cafeteria]]
|-
! 1:00-4:00 PM || colspan=2|Afternoon Session - [http://www.getty.edu Visit to J. Paul Getty Museum]
|}
</center>

== Sponsorship ==
{| style="margin: 1em auto 1em auto" border="3"
|-
| [[Image:SOCR Logo Static.GIF|link=socr|80px|]] || [[Image:UCLA Statistics Logo.gif|link=http://www.socr.ucla.edu|80px|]] || [[Image:UCLA Logo.gif|link=http://www.socr.ucla.edu|80px|]] || [[Image:NSF_Logo.jpg|link=http://www.nsf.gov|80px|]]
|-
| [http://www.socr.ucla.edu SOCR] || [http://www.stat.ucla.edu/ UCLA Statistics] || [http://www.oid.ucla.edu/ UCLA OID] || [http://www.nsf.gov NSF]
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== Additional Workshop Resources ==
* [http://lists.ucla.edu/cgi-bin/mailman/listinfo/socr_workshop_2009 Attendees Email List] ([http://lists.ucla.edu/cgi-bin/mailman/admin/socr_workshop_2009 admin])
* [[SOCR_CommunityPortal_Events_Aug2009 | SOCR Workshop Community Portal]] & [http://wiki.stat.ucla.edu/socr/index.php/SOCR_UserFeedback SOCR Blog]
* [http://www.socr.ucla.edu/SOCR_UserGoogleMap.html SOCR User Log Geo-Map] & [http://wiki.stat.ucla.edu/socr/uploads/b/bb/SOCR_CampusMap_hotels_flat_2007.pdf Campus Map]
* [[SOCR_Events_Aug2009_Postings]]
* [http://wiki.stat.ucla.edu/socr/uploads/a/a6/Certificate_SOCR_Workshop2009.pdf SOCR Continuing Statistics Education Training Certificate] (template)
* [http://wiki.stat.ucla.edu/socr/uploads/a/af/SOCR_2009_WorkshopFlier1.pdf Workshop Flier (PDF)] (0.4MB) and [http://wiki.stat.ucla.edu/socr/uploads/7/78/SOCR_2009_WorkshopFlier.pdf Workshop Flier (PDF)] (2MB)

==SOCR Teaching Statistics with Technology EBook==
The complete SOCR Teaching Statistics with Technology EBook is freely available in PDF format from the following digital libraries:
* PDF (TBD)
* ISBN 978-0-615-30464-9

==Postscript==
* Photos (TBD)

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Events_Aug2009}}

File:SOCR AnalysisActivities Survival Chu 081015 KSFig4.gif

2008-10-17T07:13:49Z

Annie:

File:SOCR AnalysisActivities Survival Chu 081015 KSFig3.gif

2008-10-17T07:13:30Z

Annie:

File:SOCR AnalysisActivities Survival Chu 081015 KSFig2.gif

2008-10-17T07:12:12Z

Annie:

File:SOCR AnalysisActivities Survival Chu 081015 KSFig1.gif

2008-10-17T07:11:50Z

Annie:

SOCR EduMaterials AnalysisActivities KolmogorovSmirnoff

2008-10-17T07:11:36Z

Annie: New page: == SOCR Analyses Example on Kolmogorov-Smirnoff Test. == This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is '''oats'''. The ...

== SOCR Analyses Example on Kolmogorov-Smirnoff Test. ==

This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is '''oats'''.

The quantitative variable '''Y''' (yields of oats field) is grouped by three varieties (the categorical varible here), '''Victory''', '''Golden.rain''' and '''Marvellous'''.

The analysis steps:

'''1.''' As you start the SOCR Analyes Applet, click on '''Kolmogorov-Smirnoff Test''' from the combo box in the left panel. Next, click on '''Example 4''' and then the '''Data''' tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.

<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_KSFig1.gif|700px]]</center>

'''2.''' Click on the '''Mapping''' tab to map the groups you would like to include in the analysis. Select two groups.

<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_KSFig2.gif|700px]]</center>

'''3.''' Now you will click on '''Compute''' to let the program produce the results. Click on '''Result''' to view the results.

<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_KSFig3.gif|700px]]</center>

'''4.''' Click on Graph to view plots.
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_KSFig4.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.

<hr>

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

SOCR EduMaterials AnalysisActivities FlignerKilleen

2008-10-17T06:50:16Z

Annie: /* SOCR Analyses Example on Fligner-Killeen Non-parametric Test. */

== SOCR Analyses Example on Fligner-Killeen Non-parametric Test. ==

This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is '''InsectSprays'''.

In this dataset, there are two variables: count, which is quantitative, and '''spray''' , a factor of six groups, denoted by '''A''' to '''F'''.

The analysis steps:

'''1.''' As you start the SOCR Analyes Applet, click on '''Fligner-Killeen Test''' from the combo box in the left panel. Next, click on '''Example 2''' and then the '''Data''' tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.

<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig1.gif|700px]]</center>

'''2.''' Click on the '''Mapping''' tab to map the groups you would like to include in the analysis. Select at least two groups.

<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig2.gif|700px]]</center>

'''3.''' Now you will click on '''Compute''' to let the program produce the results. Click on '''Result''' to view the results.

<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.

<hr>

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

File:SOCR AnalysisActivities Survival Chu 081015 Fig3.gif

2008-10-17T06:49:20Z

Annie:

File:SOCR AnalysisActivities Survival Chu 081015 Fig2.gif

2008-10-17T06:48:55Z

Annie:

File:SOCR AnalysisActivities Survival Chu 081015 Fig1.gif

2008-10-17T06:48:31Z

Annie:

SOCR EduMaterials AnalysisActivities FlignerKilleen

2008-10-17T06:45:05Z

Annie: New page: == SOCR Analyses Example on Fligner-Killeen Non-parametric Test. == This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is '''Ins...

== SOCR Analyses Example on Fligner-Killeen Non-parametric Test. ==

This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is '''InsectSprays'''.

In this dataset, there are two variables: count, which is quantitative, and '''spray''' , a factor of six groups, denoted by '''A''' to '''F'''.

The analysis steps:

'''1.''' As you start the SOCR Analyes Applet, click on "Fligner-Killeen Test" from the combo box in the left panel. Next, click on '''Example 2''' and then the '''Data''' tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.

<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig1.gif|700px]]</center>

'''2.''' Click on the '''Mapping''' tab to map the groups you would like to include in the analysis. Select at least two groups.

<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig2.gif|700px]]</center>

'''3.''' Now you will click on '''Compute''' to let the program produce the results. Click on '''Result''' to view the results.

<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.

<hr>

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

SOCR EduMaterials AnalysesActivities

2008-10-16T07:57:17Z

Annie: /* SOCR Educational Materials - Analyses Activities */

== [[SOCR_EduMaterials| SOCR Educational Materials]] - Analyses Activities ==

* [[SOCR_EduMaterials_AnalysisActivities_ANOVA_1 | SOCR One-Way Analysis of Variance Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_ANOVA_2 | SOCR Two-Way Analysis of Variance Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_SLR | SOCR Simple Linear Regression Analysis Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_MLR | SOCR Multiple Linear Regression Analysis Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_OneT | SOCR One Sample T-Test Analysis]]
* [[SOCR_EduMaterials_AnalysisActivities_TwoIndepT | SOCR Two Independent Sample T-Test Activity (Pooled Sample variance) ]]
* [[SOCR_EduMaterials_AnalysisActivities_TwoIndepTU | SOCR Two Independent Sample T-Test Activity (Unpooled Sample variance) ]]
* [[SOCR_EduMaterials_AnalysisActivities_Wilcoxon | SOCR Two Independent Sample Wilcoxon Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_KruskalWallis | SOCR Kruskal-Wallis Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_Friedman | SOCR Friedman's Test Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_TwoPairedT | SOCR Two Paired Sample T-Test Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_TwoPairedSign | SOCR Two Paired Sample Sign Test Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_TwoPairedRank | SOCR Two Paired Sample Signed Rank Activity]]

* [[SOCR_EduMaterials_AnalysisActivities_Chi_Contingency | Chi Square Test for Contingency Table Test Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_Chi_Goodness | Chi Square Goodness of Fit Test Test Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_Fisher_Exact | Fisher's Exact Test Test Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_Proportion_Test | Proportion Test for Dichotomous Data Test Activity]]

* [[SOCR_EduMaterials_AnalysisActivities_Survival | SOCR Survival Analysis Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_NormalPower | SOCR Power Analysis for Normal Distribution Activity]]
* [[SOCR_EduMaterials_AnalysisActivities_KolmogorovSmirnoff | SOCR KolmogorovSmirnoff Test]]
* [[SOCR_EduMaterials_AnalysisActivities_FlignerKilleen | SOCR Fligner Killeen Non-parametric Test]]

* [http://www.socr.ucla.edu/htmls/SOCR_ChoiceOfStatisticalTest.html How To Choose The Right Statistical Test?]

<hr>
* [[SOCR_Videos_Analyses | SOCR Analyses Video Tutorial]]
* SOCR Home page: http://www.socr.ucla.edu

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:40:10Z

Annie: /* SOCR Analyses Example on the Kruskal-Wallis Test */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
The test statistic that follows Student's t-distribution is: 
|Ri/ni - Rj/nj| / (S * S * (N - 1 - T) / (N - k)) / sqrt(1/ni + 1/nj) 
It is computed using T and S above. N is the total number of observations.
 
::Notation: Ri -- Sum of ranks of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

==References==
* Conover, WJ (1980). Practical Nonparametric Statistics. John Wiley & Sons. Second Edition.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:38:58Z

Annie: /* SOCR Analyses Example on the Kruskal-Wallis Test */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
The test statistic that follows Student's t-distribution is:
|Ri/ni - Rj/nj| / (S * S * (N - 1 - T) / (N - k)) / sqrt(1/ni + 1/nj) 
It is computed using T and S above. N is the total number of observations.
 
::Notation: Ri -- Sum of ranks of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

==References==
* Conover, WJ (1980). Practical Nonparametric Statistics. John Wiley & Sons. Second Edition.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:38:20Z

Annie: /* SOCR Analyses Example on the Kruskal-Wallis Test */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
The test statistic that follows Student's t-distribution is:
|Ri/ni - Rj/nj| / (S * S * (N - 1 - T) / (N - k)) / sqrt(1/ni + 1/nj)
And this is computed using T and S above. N is the total number of observations.
 
::Notation: Ri -- Sum of ranks of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

==References==
* Conover, WJ (1980). Practical Nonparametric Statistics. John Wiley & Sons. Second Edition.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:37:23Z

Annie: /* SOCR Analyses Example on the Kruskal-Wallis Test */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
The test statistic that follows Student's t-distribution is:
|Ri/ni - Rj/nj| / (S * S * (N - 1 - T) / (N - k)) / sqrt(1/ni + 1/nj)
And this is computed using T and S above. N is the total number of observations.
 
::Notation: Ri -- Rank of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

==References==
* Conover, WJ (1980). Practical Nonparametric Statistics. John Wiley & Sons. Second Edition.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:35:18Z

Annie: /* References */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
The test statistic that follows Student's t-distribution is:
|Ri/ni - Rj/nj| / (S * S * (N - 1 - T) / (N - k)) / sqrt(1/ni + 1/nj)
 
::Notation: Ri -- Rank of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

==References==
* Conover, WJ (1980). Practical Nonparametric Statistics. John Wiley & Sons. Second Edition.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:32:38Z

Annie:

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
The test statistic that follows Student's t-distribution is:
|Ri/ni - Rj/nj| / (S * S * (N - 1 - T) / (N - k)) / sqrt(1/ni + 1/nj)
 
::Notation: Ri -- Rank of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

==References==
*{{cite book | author=Conover, WJ. | title=Practical Nonparametric Statistics (2ed ed.) | publisher=John Wiley & Sons | year=1980 }}

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:27:58Z

Annie: /* SOCR Analyses Example on the Kruskal-Wallis Test */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
The test statistic that follows Student's t-distribution is:
|Ri/ni - Rj/nj| / (S * S * (N - 1 - T) / (N - k)) / sqrt(1/ni + 1/nj)
 
::Notation: Ri -- Rank of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:26:19Z

Annie: /* SOCR Analyses Example on the Kruskal-Wallis Test */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
::Notation: Ri -- Rank of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:25:21Z

Annie: /* SOCR Analyses Example on the Kruskal-Wallis Test */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
::Notation: Ri -- Rank of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:23:51Z

Annie: /* SOCR Analyses Example on the Kruskal-Wallis Test */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
::Notation: Ri -- Rank of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:22:29Z

Annie: /* SOCR Analyses Example on the Kruskal-Wallis Test */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::Test Statistic T = 7.487 
::S * S = 34.632 
 
::Notation: Ri -- Rank of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 (This relation does not yield rejection of Ho.)
::Group A vs. Group C: 4.7000 < 6.6928 (This relation does not yield rejection of Ho.)
::Group A vs. Group D: 5.7000 < 6.6928 (This relation does not yield rejection of Ho.)
::Group B vs. Group C: 7.9 > 6.6928 (This relation yields rejection of Ho.)
::Group B vs. Group D: 8.9 > 6.6928 (This relation yields rejection of Ho.)
::Group C vs. Group D: 1.0 < 6.6928 (This relation does not yield rejection of Ho.)

Since Group B appears to have different mean ranks than group C and group D, the null hypothesis is rejected.

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

<hr>

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

SOCR EduMaterials AnalysisActivities KruskalWallis

2008-03-03T01:18:58Z

Annie: /* Kruskal-Wallis Test Background */

=== Kruskal-Wallis Test Background===

The Kruskal-Wallis Test is a generalization of the Two Independent Sample Wilcoxon Test. While the latter one test for two groups, the Kruskal-Wallis Test test multiple groups. Suppose there are k groups, the hypotheses are written as:

'''Null Hypothesis H_0''': All of the k population distribution functions are identical.

'''Alternative Hypothesis H_A''': At least one of the populations tends to yield larger observations than at least one of the other populations.

or

'''Alternative Hypothesis H_A''': The k poputations do not all have identical means. (k is the number of groups here.)

Rank sum is employed for hypothese testing. Note that the sample size for each group do not have to be the same.

=== SOCR Analyses Example on the Kruskal-Wallis Test===

The example we show here is from "Practical Nonparametric Statistics" by Conover, Second Edition, John Wiley & Sons, 1980. (Page 230)

'''Steps:'''

'''1.''' The data of this example has 4 groups: A, B, C and D. Click on "'''Kruskal-Wallis Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. In the Kruskal-Wallis test, at least two groups need to be included. You can certainly include any two groups, any three groups, or all the avaialble groups, etc., from the data set. The test will only analyze the groups selected. Therefore, you'll need to let the computer know what groups you're choosing. This is done in the "Mapping" panel. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_KruskalWallies_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

'''3. Result Interpretation'''
* The '''Results''' tab ends with a summary like this:
::Significance Level = 0.05 
::Degrees of Freedom = 16 
::Critical Value = 2.120 
::T-Statistics = 7.487 
::S * S = 34.632 
 
::Notation: Ri -- Rank of group i; ni -- size of group i. 
 
:::: |Ri/ni - Rj/nj| 2.1199 * sqrt(24.9187) * sqrt(1/ni + 1/nj) 
 
::Group A vs. Group B: 3.1999 < 6.6928 
::Group A vs. Group C: 4.7000 < 6.6928 
::Group A vs. Group D: 5.7000 < 6.6928 
::Group B vs. Group C: 7.9 > 6.6928 
::Group B vs. Group D: 8.9 > 6.6928 
::Group C vs. Group D: 1.0 < 6.6928 

* These reuslts include the critical value (2.120) and the value of the test statistics (''T=7.487''), which indicate that there is sufficient evidence (at <math>\alpha=0.05</math>) to reject the null hypothesis that the sample centers are equal.
* Also, the paired-group comparisons (accounting for multiple-testing) indicate the ''normal'' ranges of the rank differences between groups. For instance, ''Group B vs. Group C: 7.9 > 6.6928'' indicates the range of normal rank differences between groups ''B'' and ''C''.

<hr>

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

SOCR EduMaterials AnalysisActivities Chi Contingency

2007-08-28T06:08:22Z

Annie: /* SOCR Analyses Example on the Chi-Square Contingency Table */

=== SOCR Analyses Example on the Chi-Square Contingency Table ===

This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995. (page 491)

'''Steps:'''

'''1.''' Click on "'''Chi-Square Test Contingency Table'''" from the combo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2.gif|450px]]</center>
'''2.''' Click on "'''Input'''" button to set up table size and type in data.

You will first see a screen like this.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2A.gif|700px]]</center>

The number of rows and/or columns can be changed.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2B.gif|700px]]</center>

We'll se 2 by 2 in our example. Enter the data. Use mouse click and tabs to move around.
Note that, if you don't like the default row and column names, you can change them.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2C.gif|700px]]</center>

'''3.''' Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. You can do this when you want enter new data.

<hr>

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

SOCR EduMaterials AnalysisActivities Chi Contingency

2007-08-28T06:07:18Z

Annie: /* SOCR Analyses Example on the Chi-Square Contingency Table */

=== SOCR Analyses Example on the Chi-Square Contingency Table ===

This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995. (page 491)

'''Steps:'''

'''1.''' Click on "'''Chi-Square Test Contingency Table'''" from the combo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2.gif|450px]]</center>
'''2.''' Click on "'''Input'''" button to set up table size and type in data.

You will first see a screen like this.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2A.gif|700px]]</center>

The number of rows and/or columns can be changed.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2B.gif|700px]]</center>

We'll se 2 by 2 in our example. Enter the data. Use mouse click and tabs to move around.
Note that, if you don't like the default row and column names, you can change them.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2C.gif|700px]]</center>

'''3.''' Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

SOCR EduMaterials AnalysisActivities Chi Contingency

2007-08-28T06:06:52Z

Annie: /* SOCR Analyses Example on the Chi-Square Contingency Table */

=== SOCR Analyses Example on the Chi-Square Contingency Table ===

This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995. (page 491)

'''Steps:'''

'''1.''' Click on "'''Chi-Square Test Contingency Table'''" from the combo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2.gif|450px]]</center>
'''2.''' Click on "'''Input'''" button to set up table size and type in data.

'''3.''' The data need to be send to the computer for analysis. Click on the "Mapping" button to include the groups you want.

You will first see a screen like this.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2A.gif|700px]]</center>

The number of rows and/or columns can be changed.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2B.gif|700px]]</center>

We'll se 2 by 2 in our example. Enter the data. Use mouse click and tabs to move around.
Note that, if you don't like the default row and column names, you can change them.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2C.gif|700px]]</center>

'''3.''' Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

SOCR EduMaterials AnalysisActivities Chi Contingency

2007-08-28T06:06:36Z

Annie: /* SOCR Analyses Example on the Chi-Square Contingency Table */

=== SOCR Analyses Example on the Chi-Square Contingency Table ===

This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995. (page 491)

'''Steps:'''

'''1.''' Click on "'''Chi-Square Test Contingency Table'''" from the combo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2.gif|450px]]</center>
'''2.''' Click on "'''Input'''" button to set up table size and type in data.

'''3.''' The data need to be send to the computer for analysis. Click on the "Mapping" button to include the groups you want.

You will first see a screen like this.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2A.gif|700px]]</center>

The number of rows and/or columns can be changed.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2B.gif|700px]]</center>

We'll se 2 by 2 in our example. Enter the data. Use mouse click and tabs to move around.
Note that, if you don't like the default row and column names, you can change them.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2C.gif|700px]]</center>

'''3.''' Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

SOCR EduMaterials AnalysisActivities Chi Contingency

2007-08-28T06:02:30Z

Annie: /* SOCR Analyses Example on the Chi-Square Contingency Table */

=== SOCR Analyses Example on the Chi-Square Contingency Table ===

This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995.

'''Steps:'''

'''1.''' Click on "'''Chi-Square Model Goodness-of-Fit Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig1.gif|700px]]</center>

'''2.''' Click on "'''Example 1'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2.gif|450px]]</center>

'''3.''' The data need to be send to the computer for analysis. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2A.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2B.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2C.gif|700px]]</center>

'''5.''' Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

File:SOCR AnalysisActivities ChiTable Chu 061407 Fig2C.gif

2007-08-28T06:00:11Z

Annie:

SOCR EduMaterials AnalysisActivities Chi Contingency

2007-08-28T05:59:33Z

Annie: /* SOCR Analyses Example on the Chi-Square Contingency Table */

=== SOCR Analyses Example on the Chi-Square Contingency Table ===

This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995.

'''Steps:'''

'''1.''' Click on "'''Chi-Square Model Goodness-of-Fit Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig1.gif|700px]]</center>

'''2.''' Click on "'''Example 1'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2A.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2B.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2C.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2D.gif|700px]]</center>

'''5.''' Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

File:SOCR AnalysisActivities ChiTable Chu 061407 Fig2B.gif

2007-08-28T05:57:05Z

Annie:

File:SOCR AnalysisActivities ChiTable Chu 061407 Fig2A.gif

2007-08-28T05:56:00Z

Annie:

File:SOCR AnalysisActivities ChiTable Chu 061407 Fig2.gif

2007-08-25T20:02:31Z

Annie:

File:SOCR AnalysisActivities ChiTable Chu 061407 Fig1.gif

2007-08-25T20:02:12Z

Annie:

SOCR EduMaterials AnalysisActivities Fisher Exact

2007-08-25T19:24:21Z

Annie: /* SOCR Analyses Example on Fisher's Exact Test */

=== SOCR Analyses Example on Fisher's Exact Test ===

This demo is based on an example from Wolfram MathWorld [http://mathworld.wolfram.com/FishersExactTest.html Fisher's Exact Test].

'''Steps:'''

'''1.''' Click on "'''Fisher's Exact Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Input'''" button. You'll see a screen like below waiting for your input
<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2.gif|700px]]</center>

The minimum size of table is 2 by 2. We'll use 2 by 2 for our example. (Note that you can also change the number of rows and/or columns by clicking on the combo box.)

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2A.gif|700px]]</center>

Type in numbers into the cells. You can also change the text of the row and column names from "Row 1" etc., to something you like.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2B.gif|700px]]</center>

'''3.''' Click on the "'''Calculate'''" button and then "'''Result'''" to see the results.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

File:SOCR AnalysisActivities ChiTable Chu 061407 Fig3.gif

2007-08-25T19:23:42Z

Annie:

File:SOCR AnalysisActivities FisherExact Chu 061407 Fig2B.gif

2007-08-25T19:23:00Z

Annie:

File:SOCR AnalysisActivities FisherExact Chu 061407 Fig2A.gif

2007-08-25T19:22:43Z

Annie:

SOCR EduMaterials AnalysisActivities Fisher Exact

2007-08-25T19:21:48Z

Annie: /* SOCR Analyses Example on Fisher's Exact Test */

=== SOCR Analyses Example on Fisher's Exact Test ===

This demo is based on an example from Wolfram MathWorld [http://mathworld.wolfram.com/FishersExactTest.html/ Fisher's Exact Test].

'''Steps:'''

'''1.''' Click on "'''Fisher's Exact Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Input'''" button. You'll see a screen like below waiting for your input
<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2.gif|700px]]</center>

The minimum size of table is 2 by 2. We'll use 2 by 2 for our example. (Note that you can also change the number of rows and/or columns by clicking on the combo box.)

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2A.gif|700px]]</center>

Type in numbers into the cells. You can also change the text of the row and column names from "Row 1" etc., to something you like.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2B.gif|700px]]</center>

'''3.''' Click on the "'''Calculate'''" button and then "'''Result'''" to see the results.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

SOCR EduMaterials AnalysisActivities Proportion Test

2007-08-25T18:54:41Z

Annie: /* SOCR Analyses Example on the Proportion Test */

=== Proportional Test Background===

=== SOCR Analyses Example on the Proportion Test===

This example is from UCLA STAT 13 "Introduction to Statistical Methods for the Life and Health Sciences" [http://www.stat.ucla.edu/%7Edinov/courses_students.dir/06/Fall/STAT13.1.dir/STAT13_notes.dir/lecture06.pdf Lecture Notes] by Ivo Dinov. (Slide 23) The data are about a studying the effect of aspirin in reducing heart attacks. The data consist of 500 subjects with 17 of them having heart, marked as 1, and the rest marked as 0.

'''Steps:'''

'''1.''' Click on "'''Proportion Test (Dichotomous)'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig1.gif|700px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig2.gif|500px]]</center>

'''3.''' The data need to be send to the computer for analysis. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Click on the "'''Input'''" button to select significance level. Default is 0.05.
<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig2B.gif|700px]]</center>

'''5.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

SOCR EduMaterials AnalysisActivities Fisher Exact

2007-08-25T18:53:41Z

Annie: /* SOCR Analyses Example on Fisher's Exact Test */

=== SOCR Analyses Example on Fisher's Exact Test ===

This demo is based on an example from Wolfram MathWorld [http://mathworld.wolfram.com/FishersExactTest.html/ Fisher's Exact Test].

'''Steps:'''

'''1.''' Click on "'''Fisher's Exact Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Input'''" button. You'll see a screen like below waiting for your input
<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2.gif|700px]]</center>

The minimum size of table is 2 by 2. You can change the number of rows and/or columns by clicking on the combo box. We'll use 2 by 2 for our example.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2A.gif|700px]]</center>

Type in numbers into the cells. You can also change the text of the row and column names from "Row 1" etc., to something you like.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2B.gif|700px]]</center>

'''3.''' Click on the "'''Calculate'''" button and then "'''Result'''" to see the results.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

SOCR EduMaterials AnalysisActivities Proportion Test

2007-08-25T18:53:14Z

Annie: /* SOCR Analyses Example on the Proportion Test */

=== Proportional Test Background===

=== SOCR Analyses Example on the Proportion Test===

This example is from UCLA STAT 13 "Introduction to Statistical Methods for the Life and Health Sciences" [http://www.stat.ucla.edu/%7Edinov/courses_students.dir/06/Fall/STAT13.1.dir/STAT13_notes.dir/lecture06.pdf/Lecture Notes] by Ivo Dinov. (Slide 23) The data are about a studying the effect of aspirin in reducing heart attacks. The data consist of 500 subjects with 17 of them having heart, marked as 1, and the rest marked as 0.

'''Steps:'''

'''1.''' Click on "'''Proportion Test (Dichotomous)'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig1.gif|700px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig2.gif|500px]]</center>

'''3.''' The data need to be send to the computer for analysis. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Click on the "'''Input'''" button to select significance level. Default is 0.05.
<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig2B.gif|700px]]</center>

'''5.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

SOCR EduMaterials AnalysisActivities Proportion Test

2007-08-25T18:52:45Z

Annie: /* SOCR Analyses Example on the Proportion Test */

=== Proportional Test Background===

=== SOCR Analyses Example on the Proportion Test===

This example is from UCLA STAT 13 "Introduction to Statistical Methods for the Life and Health Sciences" [http://www.stat.ucla.edu/%7Edinov/courses_students.dir/06/Fall/STAT13.1.dir/STAT13_notes.dir lecture06.pdf/Lecture Notes] by Ivo Dinov. (Slide 23) The data are about a studying the effect of aspirin in reducing heart attacks. The data consist of 500 subjects with 17 of them having heart, marked as 1, and the rest marked as 0.

'''Steps:'''

'''1.''' Click on "'''Proportion Test (Dichotomous)'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig1.gif|700px]]</center>

'''2.''' Click on "'''Example 2'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig2.gif|500px]]</center>

'''3.''' The data need to be send to the computer for analysis. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Click on the "'''Input'''" button to select significance level. Default is 0.05.
<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig2B.gif|700px]]</center>

'''5.''' Next, click on the "'''Calculate'''" button. Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_Proportion_Chu_061407_Fig3.gif|700px]]</center>

Scroll down to see complete results.

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

SOCR EduMaterials AnalysisActivities Fisher Exact

2007-08-25T18:50:16Z

Annie: /* SOCR Analyses Example on Fisher's Exact Test */

=== SOCR Analyses Example on Fisher's Exact Test ===

This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995.

'''Steps:'''

'''1.''' Click on "'''Fisher's Exact Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Input'''" button. You'll see a screen like below waiting for your input
<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2.gif|700px]]</center>

The minimum size of table is 2 by 2. You can change the number of rows and/or columns by clicking on the combo box. We'll use 2 by 2 for our example.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2A.gif|700px]]</center>

Type in numbers into the cells. You can also change the text of the row and column names from "Row 1" etc., to something you like.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2B.gif|700px]]</center>

'''3.''' Click on the "'''Calculate'''" button and then "'''Result'''" to see the results.

<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig3.gif|700px]]</center>

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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

File:SOCR AnalysisActivities FisherExact Chu 061407 Fig2.gif

2007-08-25T18:26:39Z

Annie:

File:SOCR AnalysisActivities FisherExact Chu 061407 Fig1A.gif

2007-08-25T18:25:21Z

Annie:

SOCR EduMaterials AnalysisActivities Fisher Exact

2007-08-25T18:24:51Z

Annie: /* SOCR Analyses Example on Fisher's Exact Test */

=== SOCR Analyses Example on Fisher's Exact Test ===

This example is based on the data taken from "Mathematical Statistics and Data Analysis" by John A. Rice, Second Edition, Ducbury Press, 1995.

'''Steps:'''

'''1.''' Click on "'''Fisher's Exact Test'''" from the conbo box in the left panel.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1.gif|700px]]</center>

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig1A.gif|450px]]</center>

'''2.''' Click on "'''Example 1'''" button. than the "Data" button to see the data.
<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2.gif|700px]]</center>

'''3.''' The data need to be send to the computer for analysis. Click on the "Mapping" button to include the groups you want.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2A.gif|700px]]</center>

'''4.''' Click on the "'''Calculate'''" button to enter number of parameters. For example, for a Poisson model, you should enter '1' for that Poisson model has 1 parameter. If you don't enter any number, the default used is 0.
<center>[[Image:SOCR_AnalysisActivities_ChiTable_Chu_061407_Fig2B.gif|700px]]</center>

You'll see a message like below if you don't type in any number.
<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig2C.gif|700px]]</center>

'''5.''' Now you're ready to see the results. Just click on the "Result" button.

<center>[[Image:SOCR_AnalysisActivities_FisherExact_Chu_061407_Fig3.gif|700px]]</center>

If you'd like to include some other group(s) or remove the current groups and start over, simply go to the '''Mapping''' button and take the groups you want.

'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1 and reteive the data by click an '''EXAMPLE''' button.

<hr>

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