Why is the test size equal to the false discovery rate only when the null hypothesis is correct? I may be misunderstanding what test size means. Also, is the false discover rate just the number of type 1 errors divided by the total number of rejected null hypotheses? If a set of rejected null hypotheses was rejected under a test of a 5% size, does this mean that out of all these hypotheses only 5% of them are actually true? Thank you for the help!
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