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Title: SOCR: Statistics Online Computational Resource
Url: http://socr.stat.ucla.edu/
Publisher: University of California, Los Angeles.
Description: The SOCR philosophy has four parts: "1. Tools must be freely available on the Web (SOCR Motto: It’s online, therefore it exists!) 2. Newly developed materials must be useful, extensible, factually correct, validated and deployed on the web. 3. Tools must be well designed, extensible, platform-independent and open-source; 4. Materials must explicitly utilize some SOCR interactive resources (e.g., activities with applet demos) and provide the means of cross reference by various SOCR tools (e.g., applet calculations citing formulas in instructional materials)." Each section of the site consists of an instructional applet with many customizable settings, and three sections are worth noting. First, Interactive Distributions provides graphical illustrations of over 30 different statistical data distributions. An especially useful feature of this applet is the Info button -- when pressed, it takes the user to a detailed description of the selected distribution. The second section allows the user to perform a variety of statistical analyses on pre-defined or manually input data. These include analysis of variance (ANOVA), regression and correlation, and more. The third section is a modeler for a user-defined function. The user can draw a curve and the applet will fit a trend line to the curve. A serious shortcoming of this site is the lack of documentation provided with certain applets; while this is not an issue with the aforementioned sections, it makes the two remaining sections nearly unusable.
LC Classification: Science -- Mathematics -- Mathematical statistics -- Analysis of variance and covariance. Experimental design -- General works
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
Science -- Mathematics -- Probabilities -- Distributions. Characteristic functions
Science -- Mathematics -- Probabilities -- Geometric probability. Stochastic geometry. Random sets
GEM Subject: Mathematics -- Technology
Mathematics -- Instructional issues
Mathematics -- Statistics
Mathematics -- Probability
Educational Technology -- Instructional issues
Key Concept: Mathematics -- Frequency distributions
Mathematics -- Mathematical models
Mathematics -- Statistics
Key Concepts Complete: Yes
Resource Type: Charts and Diagrams
Collection (DCMI Type Vocabulary)
Dataset (DCMI Type Vocabulary)
Instructional Materials
InteractiveResource (DCMI Type Vocabulary)
Mathematical Models
Mathematics Materials
Tables (Data)
Text (DCMI Type Vocabulary)
Format: java
Audience: Higher Education
Secondary Education
Students
Teachers
Technical School First Cycle
Technical School Second Cycle
University First Cycle
University Postgrad
University Second Cycle
Language: English
Rights: dinov@stat.ucla.edu
Access Rights: Free access
Date Of Record Release: 2007-03-17 03:00:01 (W3C-DTF)
Date Last Modified: 2011-06-09 09:42:57 (W3C-DTF)
Source Type: Internet Scout
Source: Scout Archives  Scout Archives
Full Record Views: 469
Resource URL Clicks: 24
Cumulative Rating: NOT YET RATED
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