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Everything about F-test

Statistical hypothesis test

An F-test is a statistical test that compares variances. It is used to determine if the variances of two samples, or if the ratios of variances among multiple samples, are significantly different. The test calculates a statistic, represented by the random variable F, and checks if it follows an F-distribution. This check is valid if the null hypothesis is true and standard assumptions about the errors (ε) in the data hold. Wikipedia →

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  1. Read the overview: F-testA 5-minute orientation
  2. Skim a recent paper: Comparing network structures on three aspects: A permutation test.Influential work since 2022
  3. Pick up a classic book: ὈδύσσειαThe most-reprinted book on the subject
  4. Read the landmark paper: Bias in meta-analysis detected by a simple, graphical testCited 50,280 times
  5. Go sideways: One-way analysis of varianceA closely related topic
  6. Go sideways: Tukey's test of additivityA closely related topic

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