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Statistics Online Computational Resource for Education.

Ivo D Dinov¹, Nicolas Christou

¹University of California, Los Angeles, USA.

Teaching Statistics

|September 28, 2011

Summary

This summary is machine-generated.

The Statistics Online Computational Resource (SOCR) offers a vast collection of free online probability and statistics educational materials. SOCR provides both instructional resources and computational libraries for learning and research.

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Area of Science:

Statistics education
Computational statistics

Background:

The need for accessible and comprehensive resources in probability and statistics education is significant.
Existing resources may lack the breadth or depth required for diverse learning needs.

Purpose of the Study:

To introduce the Statistics Online Computational Resource (SOCR) as a leading provider of educational materials.
To highlight the dual focus on instructional content and computational tools.

Main Methods:

Development and validation of educational materials.
Dissemination of instructional resources and computational libraries.

Main Results:

SOCR hosts one of the largest collections of free, internet-based resources for statistics education.
SOCR offers two primary categories of materials: instructional resources and computational libraries.

Conclusions:

SOCR serves as a valuable and extensive platform for probability and statistics education.
The resource supports learning through both theoretical instruction and practical computational tools.