The Bonferroni adjustment decreases the experimentwise Type I error rate,but it increases the probability of a Type II error.

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The Bonferroni adjustment is a method to decrease the experimentwise Type I error rate by adjusting the significance level for each individual test. However, the more stringent the significance level becomes, the greater the likelihood of rejecting null hypotheses when they are actually true (Type II error). Therefore, the Bonferroni adjustment can increase the probability of a Type II error.

The Bonferroni Adjustment Decreases the Experimentwise Type I Error Rate,but