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Title: The Central Limit Theorem
Url: https://www.causeweb.org/repository/statjava/CLT.html
Creator: Anderson-Cook, C.
Dorai-Raj, S.
Robinson, T.
Publisher: Virginia Tech Department of Statistics
 Description: The applets in this section of Statistical Java allow you to see how the Central Limit Theorem works. The main page gives the characteristics of five non-normal distributions (Bernoulli, Poisson, Exponential, U-shaped, and Uniform). Users then select one of the distributions and change the sample size to see how the distribution of the sample mean approaches normality. Users can also change the number of samples. To select between the different applets you can click on Statistical Theory, the Central Limit Theorem and then the Main Page. At the bottom of this page you can make your applet selection.
LC Classification: Science -- Mathematics -- Mathematical statistics -- Analysis of variance and covariance. Experimental design
Science -- Mathematics -- Mathematical statistics -- Sampling distribution
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
Science -- Mathematics -- Probabilities -- Limit theorems
Science -- Mathematics -- Probabilities -- Study and teaching. Research
GEM Subject: Mathematics -- Statistics
Mathematics -- Probability
Key Concept: Mathematics -- Central limit theorem
Mathematics -- Normal distribution
Mathematics -- Probability
Mathematics -- Statistics
Mathematics -- Variation
Date Issued: 2000
Resource Type: Collection (DCMI Type Vocabulary)
Demonstrations
Instructional Materials
InteractiveResource (DCMI Type Vocabulary)
Mathematical Models
Mathematics Materials
Reference
Study Guides
Teaching Guides
Format: html
java
Audience: College/University Instructors
Higher Education
Students
Teachers
Technical School First Cycle
Technical School Second Cycle
University First Cycle
University Second Cycle
Vocational Training
Language: English
Rights: Virginia Tech - Department of Statistics
Access Rights: Free access
 Screenshot Full Image (576x280)
Date Of Record Release: 2009-12-15 03:00:02 (W3C-DTF)
Source: CAUSEweb
Full Record Views: 53
Resource URL Clicks: 7
Cumulative Rating: NOT YET RATED
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