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Title: The Central Limit Theorem
Url: https://www.causeweb.org/cause/archive/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
Reference Material
Instructional Material
Instructional Material -- Model
Instructional Material -- Student Guide
Instructional Material -- Demonstration
Instructional Material -- Interactive Simulation
Instructional Material -- Instructor Guide/Manual
Format: Document -- HTML
Application -- Java
Audience: Educator
Learner
Education Level: Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Rights: Virginia Tech - Department of Statistics
Access Rights: Free access
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Source: CAUSEweb
Full Record Views: 7
Resource URL Clicks: 3
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