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A psychologist is studying the self image of smokers, as measured by the self-image (SI) score from a personality inventory. She would like to examine the mean SI score, μ, for the population of all smokers. Previously published studies have indicated that the mean SI score for the population of all smokers is 85 and that the standard deviation is 12, but the psychologist believes that the value for the mean has changed. She plans to perform a statistical test. She takes a random sample of SI scores for smokers and computes the sample mean to be 79. Based on this information, answer the questions below.
What are the null hypothesis (H0) and the alternative hypothesis (H1) that should be used for the test? In the context of this test, what is a Type I error?
What are the null hypothesis (H0) and the alternative hypothesis (H1) that should be used for the test?
Suppose that the psychologist decides to reject the null hypothesis. What sort of error might she be making?
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