Statistics Online Computational Resource
The Statistics Online Computational Resource (SOCR)[1] is a suite of online tools and interactive aids for hands-on learning and teaching concepts in statistical analysis and probability theory developed at the University of California, Los Angeles. The SOCR resource is Java-based and all materials and tools are freely available over the Internet.
SOCR consists of Interactive Distribution Applets, Statistical Analysis Modules, Data Modeler, Graphics Tools, Instructor's Notes and Additional resources[2].
See also
External links
References
- ^ Dinov, Ivo D. (2008). "Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses". Journal of Computers & Education. 50 (1 pages=284–300). doi:10.1016/j.compedu.2006.06.003.
{{cite journal}}: Missing pipe in:|issue=(help); Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Dinov, Ivo D. (2006). "Statistics Online Computational Resource". Journal of Statistical Software. 16 (1): 1–16.