We treat the repeated sample case differently from the case involving two separate samples because of
A) the difference in the means of the two samples.
B) the fact that different subjects were involved.
C) the correlation between the two sets of data.
D) the size of the sample.

Question

Quizplus · Accepted Answer

In the case of repeated samples, there is a correlation between the two sets of data as they come from the same group of subjects. Therefore, we need to take this correlation into account when analyzing the data, such as using paired t-tests or repeated measures ANOVA. In the case of two separate samples, there is no correlation between the two sets of data, which means we can analyze them as independent samples using methods such as independent t-tests or ANOVA. The difference in means and sample sizes may also be important factors, but they do not explain why we need to treat the repeated sample case differently.

We Treat the Repeated Sample Case Differently from the Case