Question: 1. Type I and II errors: a. Define power as it relates to hypothesis testing. In hypothesis testing, do you generally want power to be

 1. Type I and II errors: a. Define power as it

1. Type I and II errors: a. Define power as it relates to hypothesis testing. In hypothesis testing, do you generally want power to be large or small? Why? [4 points b. Which set of circumstances produces the most powerful statistical test? [3 points] a. a = .05, N = 30 b. a = .01, N= 100 C . a =.01, N= 30 d. a = .05, N = 100 c. Select the correct set of factors that directly influence the power of a statistical test: [3 points] a. Random assignment, size of the rejection region, sample size, valid and reliable measures b. Sample size, intensity of the manipulation, direction of the test, a representative sample C. Intensity of the manipulation, direction of the test, sample size, size of alpha d. Generalizability of results, sample size, size of rejection region, quantitative variables

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