In 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 reject a false null hypothesis. Explain in your own words why this is so.
Answer to relevant QuestionsWhether or not you found a significant difference in Exercise 13.13, Vul and Pashler did. But are first guesses better than the average of the two? Use techniques developed in Chapter 12 and this chapter to construct 95% confidence limits on the true mean difference between the Sexual Satisfaction scores in Exercise 13.1. In Exercise 14.8 a significant difference might lead someone to suggest that poor parent– child relationships are the cause of schizophrenia. Why might this be a troublesome conclusion? Brescoll and Uhlmann (2008), in the study described in Exercise 14.18, found the reverse effect for females. They thought that perhaps this latter result was related to the way anger is judged in females compared to males. ...In Exercise 14.8 why might it be smart to look at the variances of the two groups?
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