The Bonferroni correction is an adjustment made to P-values when several dependent or independent statistical tests are being performed simultaneously on a single data set. To perform a Bonferroni correction, divide the critical P value (α) by the number of comparisons being made.

Kruskal-Wallis test, followed by Dunn-Šidák multiple comparisons with Bonferroni correction