View source for Statistics Online Computational Resource

{{Redirect|SOCR}}
{{Infobox organization
| name           = Statistics Online Computational Resource (SOCR)
| image          = SOCR OverviewImage 2009.jpg
| size           = 150px
| focus          = scientific computing, data analytics, visualization, inference, education
| founded        = January 5, 2002
| type           = not-for-profit
| website        = [http://SOCR.umich.edu www.socr.umich.edu]
| coords         = {{Coord|42.284199|-83.738072}}
}}
The '''Statistics Online Computational Resource (SOCR)'''<ref>{{Cite journal |last=Dinov |first=Ivo D. |last2=Sanchez, Juana |last3=Christou, Nicolas |year=2008 |title=Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses |journal=Computers and Education |volume=50 |issue=1 |pages=284–300 |doi=10.1016/j.compedu.2006.06.003 |pmc=2740633 |pmid=19750185}}</ref> is an online multi-institutional research and education organization. SOCR designs, validates and broadly shares a suite of online tools for statistical computing, and interactive materials for hands-on learning and teaching concepts in [[data science]], [[statistical analysis]] and [[probability|probability theory]]. The SOCR resources are platform agnostic based on HTML, XML and Java, and all materials, tools and services are freely available over the Internet.
The core SOCR components include interactive distribution calculators, statistical analysis modules, tools for data modeling, graphics visualization, instructional resources, learning activities and other resources.<ref>{{Cite journal |last=Dinov |first=Ivo D. |year=2006 |title=Statistics Online Computational Resource |url=http://www.jstatsoft.org/v16/i11 |journal=[[Journal of Statistical Software]] |volume=16 |issue=1 |pages=1–16 |doi=10.18637/jss.v016.i11  |doi-access=free|pmid=21451741|pmc=3065362 }}</ref><ref>{{Cite journal |last=Christou |first=Nicolas |last2=Dinov, I. |year=2010 |title=A Study of Students' Learning Styles, Discipline Attitudes and Knowledge Acquisition in Technology-Enhanced Probability and Statistics Education |url=http://jolt.merlot.org/vol6no3/dinov_0910.pdf |journal=Journal of Online Learning and Teaching |volume=6 |issue=3 |pages=546–572 |pmc=3098746 |pmid=21603097}}</ref>
All SOCR resources are licensed under either the [[GNU Lesser General Public License]] or [[CC BY]];<ref>{{Cite web |title=SOCR Citations and Licenses |url=http://socr.umich.edu/html/SOCR_CitingLicense.html |access-date=2023-04-01 |website=socr.umich.edu}}</ref> peer-reviewed, integrated internally and interoperate with independent digital libraries developed by other professional societies and scientific organizations<ref>Peer-reviewed SOCR [http://socr.umich.edu/html/SOCR_Publications.html papers] and [http://www.socr.ucla.edu/htmls/SOCR_Recognitions.html SOCR integration in international digital libraries]</ref> like [[National Science Digital Library|NSDL]], [[Open Educational Resources]], [[Mathematical Association of America]], [[California Digital Library]], [[LONI Pipeline]], etc.
==See also==
* [[List of statistical packages]]
* [[Comparison of statistical packages]]
==External links==
* [http://www.socr.umich.edu SOCR University of Michigan site]
* [http://www.socr.ucla.edu SOCR UCLA site]
==References==
{{reflist}}
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[[Category:Educational math software]]
[[Category:Research institutes in the United States]]
[[Category:Statistical software]]
[[Category:University of Michigan]]