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){{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}} 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 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.{{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 }}{{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}}

All SOCR resources are licensed under either the GNU Lesser General Public License or CC BY;{{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}} peer-reviewed, integrated internally and interoperate with independent digital libraries developed by other professional societies and scientific organizationsPeer-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] like NSDL, Open Educational Resources, Mathematical Association of America, California Digital Library, LONI Pipeline, etc.