Bonferroni correction

Summary

The Bonferroni correction is the simplest way to test many hypotheses at once: test each of $m$ hypotheses at level $\alpha/m$. By Boole's inequality, the family-wise error rate is then at most $\alpha$. It needs no assumption on the dependence between the tests, but it loses power when $m$ is large.