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Statistics Online Computational Resource for Education and Research

 
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Type: Library or Collection
Grade Level: Secondary, Post-secondary
Author: Ivo D. Dinov, PhD, Nicolas Christou, PhD
Subject: Mathematics and Statistics, Science and Technology
Collection Name: Individual Authors

Abstract: The goals of the Statistics Online Computational Resource (www.SOCR.ucla.edu) are to design, validate and freely disseminate knowledge. Specifically, SOCR 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.

The core SOCR educational and computational components include: Distributions (interactive graphs and calculators), Experiments (virtual computer-generated analogs of popular games and processes), Analyses (collection of common web-accessible tools for statistical data analysis), Games (interfaces and simulations to real-life processes), Modeler (tools for distribution, polynomial and spectral model-fitting and simulation), Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), Additional Tools (other statistical tools and resources), SOCR Wiki (collaborative Wiki resource), Educational Materials and Hands-on Activities (varieties of SOCR educational materials), SOCR Statistical Consulting and Statistical Computing Libraries.

Details

Specific Types of Materials: Primary Source, Teaching and Learning Strategies
Media Formats: Graphics/Photos, Other, Text/HTML, Downloadable docs

Conditions of Use: GNU Free Documentation License

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