When to Use Bonferroni Correction?

The Bonferroni correction is appropriate when a single false positive in a set of tests would be a problem. It is mainly useful when there are a fairly small number of multiple comparisons and you're looking for one or two that might be significant.

Why is Bonferroni correction used?

Bonferroni was used in a variety of circumstances, most commonly to correct the experiment-wise error rate when using multiple 't' tests or as a post-hoc procedure to correct the family-wise error rate following analysis of variance (anova).

Should you use Bonferroni correction?

A Bonferroni correction should be considered if: a single test of the 'universal null hypothesis' (H_o) that all tests are not significant is required. ... a large number of tests are carried out without preplanned hypotheses in an attempt to establish any results that may be significant.