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F-test
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F-test

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Quick Summary

The F-test is a statistical test used in analysis of variance (ANOVA) to compare the variances of two or more datasets. It is based on the F distribution, which is a probability density function derived from the ratio of two independent chi-square distributions. The F-test is commonly used to test a null hypothesis, which posits that there is no significant difference between the means or variances of the groups being compared. If the calculated F-statistic exceeds a critical value, the null hypothesis is rejected, suggesting that there are significant differences among the groups.12

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  1. F distribution
  2. null hypothesis

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