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These lecture notes provide an overview of the two dependent-sample t-test, a statistical hypothesis test used in the behavioral sciences when the scores in a pair are correlated. Topics covered include the situation, procedure, assumptions, and an example of the test.
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Ch. 11. Two Dependent-Sample t-test I. Situation; same as the two independent-sample t-test except the scores in a pair are correlated with each other due to one of the following reasons. A. Pre-test, post-test(repeated measures). B. Researcher-produced pairs (matching on some extraneous variables). C. Naturally occurring pairs.
II. Procedure A. Hypothesis; same as two-independent t-test. B. α=.05 or .01, tcrit, df=n-1, n=# of pairs of scores. C. TS: tobs D. Decision; same as two-independent t-test.
III. Assumptions A. Normality of the d's. B. Independence of the d's. IV. Example