Difference between revisions of "SOCR:About"
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| − | == What is SOCR? == | + | == What is [http://www.socr.ucla.edu SOCR]? == |
| − | The goals of the SOCR | + | The goals of the Statistics Online Computational Resource (SOCR) are to design, validate and freely disseminate knowledge. Our Resource specifically provides portable online aids for probability and statistics education, technology based instruction and statistical computing. SOCR tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. |
| − | |||
| + | == [http://www.socr.ucla.edu SOCR] Users == | ||
| + | There are three major types of SOCR users: educators, students and tool developers. Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. | ||
| − | == SOCR | + | ==[http://www.socr.ucla.edu SOCR] Components== |
| − | + | The main components of the [[SOCR]] Resource include | |
| + | * [http://www.socr.ucla.edu/htmls/SOCR_Distributions.html Distributions] | ||
| + | * [http://www.socr.ucla.edu/htmls/SOCR_Experiments.html Experiments] | ||
| + | * [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] | ||
| + | * [http://www.socr.ucla.edu/htmls/SOCR_Games.html Games] | ||
| + | * [http://www.socr.ucla.edu/htmls/SOCR_Modeler.html Modeler] | ||
| + | * [http://www.socr.ucla.edu/htmls/SOCR_Charts.html Graphs, Plots and Charts] | ||
| + | * [http://www.socr.ucla.edu/Applets.dir/OnlineResources.html Additional Tools] | ||
| + | * [http://wiki.stat.ucla.edu/socr SOCR Wiki] | ||
| + | * [http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials Educational Materials and Hands-on Activities] | ||
| + | * [http://www.socr.ucla.edu/htmls/SOCR_ChoiceOfStatisticalTest.html SOCR Statistical Consulting] | ||
| + | * [http://www.socr.ucla.edu/htmls/SOCR_Download.html Statistical Computing Libraries] | ||
| + | * [[EBook | Probability and Statistics EBook]] | ||
| + | |||
| + | {{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=Socr:About}} | ||
Latest revision as of 11:39, 7 September 2011
What is SOCR?
The goals of the Statistics Online Computational Resource (SOCR) are to design, validate and freely disseminate knowledge. Our Resource specifically provides portable online aids for probability and statistics education, technology based instruction and statistical computing. SOCR tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials.
SOCR Users
There are three major types of SOCR users: educators, students and tool developers. Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts.
SOCR Components
The main components of the SOCR Resource include
- Distributions
- Experiments
- Analyses
- Games
- Modeler
- Graphs, Plots and Charts
- Additional Tools
- SOCR Wiki
- Educational Materials and Hands-on Activities
- SOCR Statistical Consulting
- Statistical Computing Libraries
- Probability and Statistics EBook
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