7. Power analysis involves determining the sample size (N) needed to detect a specified effect size. (15 pts.) a. An effect size statistic typically is defined by four characteristics. What are these characteristics? 1. 2. 3. 4. b. What two reasons cause effect size to increase? 1. 2. C. What two statistics do we use to measure effect size when comparing two or more group means for normally distributed, continuous data. For which type of statistical test (i.e., z, t, F) is each used? 1. I 2. d. What is statistical power in hypothesis testing? That is, how do we explain power as an ability or capacity to do something in the context of hypothesis testing? e. Using Pop1 and Pop2, explain in words how we measure power as a proportion. f. Draw two overlapping distributions with a large effect size of roughly +2.00. Label Pop1 and Pop2, the respective means, and a Pop1 alpha cut-off for p = 05. Finally, shade the area that represents power in Pop2. Population 1 is drawn below. 7. Power analysis involves determining the sample size (N) needed to detect a specified effect size. (15 pts.) a. An effect size statistic typically is defined by four characteristics. What are these characteristics? 1. 2. 3. 4. b. What two reasons cause effect size to increase? 1. 2. C. What two statistics do we use to measure effect size when comparing two or more group means for normally distributed, continuous data. For which type of statistical test (i.e., z, t, F) is each used? 1. I 2. d. What is statistical power in hypothesis testing? That is, how do we explain power as an ability or capacity to do something in the context of hypothesis testing? e. Using Pop1 and Pop2, explain in words how we measure power as a proportion. f. Draw two overlapping distributions with a large effect size of roughly +2.00. Label Pop1 and Pop2, the respective means, and a Pop1 alpha cut-off for p = 05. Finally, shade the area that represents power in Pop2. Population 1 is drawn below