PROPHET StatGuide: Chi-square Test for Variance

The chi-square test for variance is used to test the null hypothesis that the variance of the population from which the data sample is drawn is equal to a hypothesized value.

The full version of StatGuide for chi-square test for variance will be available in a future release. In the meantime, to properly analyze and interpret results of chi-square test for variance, 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 chi-square test for variance may result in drawing erroneous conclusions from your data. Additionally, you may want to consult the following references:

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Last modified: February 20, 1997

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