PROPHET StatGuide: Contingency table analysis

For cross-classified data, the chi-square test for independence and Fisher's exact test can be used to test the null hypothesis that the row and column classification variables of the data's two-way contingency table are independent.



To properly analyze and interpret results of the contingency table analysis, you should be familiar with the following terms and concepts:

Failure to understand and properly apply contingency table analysis may result in drawing erroneous conclusions from your data. If you are not familiar with these terms and concepts, you may wish to consult with a statistician. You may also want to consult the following references:

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Last modified: February 20, 1997

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