📊F-test (Variance Ratio)
Type I error (α) is rejecting a true null hypothesis (false positive). Type II error (β) is failing to reject a false null hypothesis (false negative). Power = 1−β. Reducing α increases β.
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Fun Fact
In drug trials, Type II errors can be more dangerous — missing a real treatment effect means patients miss effective therapy.
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