In a correlated groups design, the reasonableness of the null hypothesis is usually tested by assuming the sample set of difference scores is a random sample from a population of difference scores with µ D = 0.

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This is correct. A correlated groups design involves comparing two sets of scores that are related to each other (e.g. before and after scores from the same participants). The null hypothesis assumes that there is no difference between the two sets of scores (i.e. the population mean difference score is equal to zero). This assumption is often tested using a t-test, which requires the sample set of difference scores to be normally distributed with a mean of 0.

In a Correlated Groups Design, the Reasonableness of the Null