The appropriate test to compare before and after scores on a treatment group would be the Dependent t-test. This test, also known as the paired t-test, is used to determine if there is a statistically significant difference between two sets of related data, where each data point in one set is paired with a corresponding data point in the other set. In this case, the 'before' scores are paired with the 'after' scores for each individual in the treatment group.

Comparing Before and After Scores: The Dependent t-Test

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