The paired t is to the independent t, as

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The paired t-test is a type of within-subjects design, where each participant is measured twice (before and after an intervention), and we compare their scores on the same measure. The independent t-test, on the other hand, is a type of between-subjects design, where we compare the scores of two different groups of participants on the same measure. Similarly, the repeated-measures ANOVA is a type of within-subjects design, while the between-subjects ANOVA is a type of between-subjects design. Therefore, the best choice is D, as it correctly identifies a similar contrast between within-subjects and between-subjects designs. A is not a good choice, as chi-square is a non-parametric test used for nominal or ordinal data, while ANOVA is used for interval or ratio data. B and C are not good choices as they involve different types of correlations/tests.

The Paired T Is to the Independent T, as