A F-test is useful for testing the null hypothesis that a set of sample data is normally distributed.

Name: A F-test is useful for testing the null hypothesis that a set of sample data is normally distributed.
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A F-test is used to test if two populations have equal variance, not whether a set of sample data is normally distributed. A normality test, such as a Shapiro-Wilk test or Anderson-Darling test, should be used instead to test normality assumptions.

A F-Test Is Useful for Testing the Null Hypothesis That