What would happen if instead of using an ANOVA to compare 10 groups, you performed multiple t- tests?

A Making multiple comparisons with a t-test increases the probability of making a Type I error

B Sir Ronald Fischer would be turning over in his grave; he put all that work into developing ANOVA, and you use multiple t-tests

C Nothing serious, except that making multiple comparisons with a t-test requires more computation than doing a single ANOVA

D Nothing, there is no difference between using an ANOVA and using a t-test

Answer & Explanation
Answer: Making multiple comparisons with a t-test increases the probability of making a Type I error

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