If σ = 15, n = 25, and we are testing H0: µ = 100 versus H1: µ > 100, what value of the mean under H1 would result in power being equal to the probability of a Type II error? This is most easily solved by sketching the two distributions. Which areas are you trying to equate?)
Answer to relevant QuestionsCalculate the power of the anorexia experiment in Section 14.1, assuming that the parameters have been estimated correctly. Following on from Exercise 15.3, suppose that my colleagues were tired of having children tell them what they think we want to hear and gave them a heart-to-heart talk on the necessity of accurate reporting. Suppose that ...The data in Exercises 16.7 and 16.9 both produced a significant F. Do you have more or less faith in one of these effects? Why? Another way to look at the Eysenck study mentioned in Exercise 16.1 is to compare four groups of participants. One group consisted of Younger participants who were presented the words to be recalled in a condition that ...Refer to Exercise 16.1. Assume that we collected additional data and had two more participants in the Younger group with scores of 13 and 15. (a) Rerun the analysis of variance. (b) Run an independent groups t test without ...
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