1. Inflated Type I error: For each test, there’s a α=5% probability that the difference between groups is not meaningful (i.e. due to chance). If we have n groups to compare, and we keep running t-tests, there will be 1-(1-α)n chance to make a Type I error! 2. To control for Type I error: MakeContinue reading “Class #21: ANOVA”