When using multiple comparisons, the real issue is between doing the most powerful test and making the fewest Type I errors.

Question

Quizplus · Accepted Answer

The real issue in multiple comparisons is balancing the trade-off between maximizing the power of statistical tests (the ability to detect true effects when they exist) and minimizing Type I errors (incorrectly rejecting a null hypothesis when it is true). This balance is crucial because increasing the power of a test often increases the likelihood of making Type I errors, especially when conducting multiple comparisons.

When Using Multiple Comparisons, the Real Issue Is Between Doing