PROPHET StatGuide: Friedman's test


Friedman's test is used to test the null hypothesis that several treatment effects (locations) are equal for data in a two-way layout.


The full version of StatGuide for Friedman's test will be available in a future release. In the meantime, to properly analyze and interpret results of Friedman's test, you should be familiar with the following terms and concepts: If you are not familiar with these terms and concepts, you are advised to consult with a statistician. Failure to understand and properly apply Friedman's test may result in drawing erroneous conclusions from your data. Additionally, you may want to consult the following references:

Examine the glossary.

Do a keyword search of PROPHET StatGuide.

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Last modified: March 14, 1997

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