Exercise

Post-hoc test: Bonferroni

Now we'll take a look at the most conservative procedure, Bonferroni. This procedure will apply the most extreme adjustments to the p-values.

Instructions

100 XP

Use the with() function to do all pairwise comparisons in one step. You can do the pairwise tests with the function pairwise.t.test(). Set the argument p.adjust.method argument equal to "bonferroni".

Take Hint (-30 XP)