![]() They are not limited to use as followup tests to ANOVA. The inputs to the Bonferroni and Šídák (the letter Š is pronounced "Sh") methods are a list of P values, so these methods can be used whenever you are doing multiple comparisons.Key facts about the Bonferroni and Šídák methods As part of the analysis that performs many t tests at once.The alternative is the Holm-Šídák method, which has more power, but doesn't compute confidence intervals. If you enter data into two columns, and wish to compare the two values at each row, then we recommend the Bonferroni method, because it can compute confidence intervals for each comparison. ![]() The Bonferroni test is offered because it is easy to understand, but we don't recommend it. If you have three or more columns, and wish to compare means within each row (or three or more rows, and wish to compare means within each column), the situation is much like one-way ANOVA. Instead, choose the Tukey test if you want to compute confidence intervals for every comparison or the Holm-Šídák test if you don't. Prism also lets you choose Bonferroni tests when comparing every mean with every other mean. This makes sense when you are comparing selected pairs of means, with the selection based on experimental design. Prism can perform Bonferroni and Sidak multiple comparisons tests as part of several analyses:
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