When analyzing data from a repeated-measures design, if the correlation is significant, the paired t increases the test's power.

Question

Quizplus · Accepted Answer

When analyzing data from a repeated-measures design, the paired t-test assumes that the differences between the paired observations are normally distributed. A significant correlation between the paired observations indicates that the assumption of independence of the differences may not hold. In this situation, the paired t-test can still be used, but the power of the test may be increased due to the relationship between the paired observations.

When Analyzing Data from a Repeated-Measures Design, If the Correlation