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Statistics Online Computational Resource

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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 analyses 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

  1. ^ Ivo D. Dinov, Juana Sanchez and Nicolas Christou (2008). "Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses". Journal of Computers & Education. Vol. 5. pp. 284–300. {{cite conference}}: Unknown parameter |booktitle= ignored (|book-title= suggested) (help)
  2. ^ Ivo D. Dinov (2006). "Statistics Online Computational Resource". Journal of Statistical Software. Vol. 16. pp. 1–16. {{cite conference}}: Unknown parameter |booktitle= ignored (|book-title= suggested) (help)