In your A/B tests, up to 4 out of 20 might be judged as 'successful' even though they have 'no effect'.If you repeat tests ...
A Bonferroni correction would, essentially, treat the results of the “fake” hypotheses as being equally as likely to generate a false-positive as the “real” hypothesis. In other words, Bonferroni ...
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