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Mathematics

Hypothesis Testing for Comparing Two Population Variances Using the F-Test

Quick fact

The F-test for comparing variances is extremely sensitive to the assumption of normality, so sensitive that a significant result might indicate non-normal data rather than unequal variances.

Why this is interesting

You've just measured the consistency of two different machines, and one seems more variable. How do you know if that difference is real or just random noise?