Dependent Multi-means Comparisons:
Analysis of Variance for Dependent Populations

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This site is a part of the JavaScript E-labs learning objects for decision making. Other JavaScript in this series are categorized under different areas of applications in the MENU section on this page.

Professor Hossein Arsham   

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The following JavaScript tests a claim on equality of mean of three dependent normal populations based on three sets of random observations.

Enter up-to-40 triple sample data from the first population, the second population, and the third population in the following three tables, respectively. Blank entry boxes are not included in the calculations but zeros are.

In entering your data to move from cell to cell in the data-matrix use the Tab key not arrow or enter keys.

The aim is to test the claim that:

m₁ = m₂ = m₃

Formaly,

H₀: The populations' means are almost the same.
H_a: At least one population's mean differs quite significantly from the others.

Mean1		Variance1
Mean2		Variance2
Mean3		Variance3
Variation Between		Variation Within
Subjects Variation		Total Variation
F-Statistic		P-Value
Conclusion

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For Technical Details, Back to:
Statistical Thinking for Decision Making

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Kindly email your comments to:
Professor Hossein Arsham

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Kindly e-mail me your comments, suggestions, and concerns. Thank you.

Professor Hossein Arsham   

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