Modify the data in Exercise 13.6 by shifting the entries in the “12 hour” column so as to increase the relationship between the two variables. Run a t test on the modified data and notice the effect on t. (You could never do this with real data, because paired scores must be kept together, but doing so here reveals the important role played by the relationship between variables.)
Answer to relevant QuestionsIn Section 13.4 I explained that by removing subject-to-subject variability from the data, related- samples designs prevent this variability from influencing the data on which the t test is run. This increases our ability to ...For the data in Exercise 13.1, create a scatterplot and calculate the correlation between husband’s and wife’s sexual satisfaction. How does this amplify what we have learned from the analysis in Exercise 13.1? In ...In Exercise 13.1 we had paired data because we had a response from both the husband and the wife within a married couple. Suppose that instead of using married couples we just took a large group of people and asked them to ...Brescoll and Uhlmann (2008) investigated the hypothesis that when an observer views a videotape of a male expressing anger as opposed to sadness, the male in the anger condition isaccorded higher status than the male in the ...The Thematic Apperception Test (TAT) presents participants with ambiguous pictures and asks them to tell a story about them. These stories can be scored in any number of ways. Werner, Stabenau, and Pollin (1970) asked ...
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