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Statistics Online Computational Resource for Education and Research

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Author:
,
Subject:
Mathematics and Statistics, Science and Technology
Institution Name:
Department of Statistics, UCLA| Department of Computer Science, UCLA|Department of Neurology, UCLA|Department of Biomedical Engineering, UCLA| UCLA Laboratory of Neuro Imaging|UCLA Center for Computational Biology
Collection:
Individual Authors
Grade Level:
Secondary, Post-secondary
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.

Material Type:
Primary Source, Teaching and Learning Strategies
Media Format:
Graphics/Photos, Other, Text/HTML, Downloadable docs
Conditions of Use:
GNU Free Documentation License
Copyright Holder:
Ivo Dinov

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