Repeat the analysis shown in Exercise 10.19, but this time cross-tabulate ClinCase against Gender. a. Compare this answer with the results of Exercise 10.18. b. How does this analysis differ from the one in Exercise 10.18 on roughly the same question?
Rosenthal and others (cited earlier) have argued that small effects, as indexed by a small , for example, can be important in certain situations. We would probably all agree that small effects could be trivial in other situations. a. Can an effect that is not statistically significant ever be important if it has a large enough ? b. How will the sample size contribute to the question of the importance of an effect?
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