Fig. 1.

A visual representation of the sequential Bonferroni method for controlling familywise error rate. All p values are sorted in ascending order and are assigned a rank number from 1 (smallest) to k (largest). Next, one starts by evaluating the first (smallest) p value (p ⁽¹⁾) against the adjusted α (α _adj), which is—for the first p value—equal to α divided by k. If the p value is smaller than α _adj, then the first hypotheses H ⁽¹⁾ is rejected, and one proceeds to the second p value. If the p value is not smaller than α _adj, then one immediately accepts all null hypotheses and stops testing