What is an F-test, and when is it used in hypothesis testing?
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An F-test is a statistical test used to compare two or more variances to determine if they are significantly different. It is commonly used in ANOVA (Analysis of Variance) to test if there are significant differences between the means of three or more groups by comparing the variances within and between the groups.