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 82and that the standard deviation is 12, but the psychologist believes that the value for the mean has decreased. She plans to perform a statistical test. She takes a random sample of SI scores for smokers and computes the sample mean to be 7.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? H0: μ is ?less than less than or equal togreater thangreater than or equal to not equal toequal to ? 82 74 12 H1: μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ? 82 74 12 In the context of this test, what is a Type II error? A Type II error is ? rejecting/failing to reject the hypothesis that  μ is ? less than/less than or equal to greater thangreater than or equal tonot equal toequal to ? 82 74 12 when, in fact, μ  is ? less than less than or equal to greater thangreater than or equal to not equal toequal to ? 82 74 12. Suppose that the psychologist decides to reject the null hypothesis. What sort of error might she be making? Type IType II

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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 82and that the standard deviation is 12, but the psychologist believes that the value for the mean has decreased. She plans to perform a statistical test. She takes a random sample of SI scores for smokers and computes the sample mean to be 7.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?
H0: μ is ?less than less than or equal togreater thangreater than or equal to not equal toequal to ? 82 74 12
H1: μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ? 82 74 12
In the context of this test, what is a Type II error?

A Type II error is ? rejecting/failing to reject the hypothesis that 
μ is ? less than/less than or equal to greater thangreater than or equal tonot equal toequal to ? 82 74 12 when, in fact, μ
 is ? less than less than or equal to greater thangreater than or equal to not equal toequal to ? 82 74 12.
Suppose that the psychologist decides to reject the null hypothesis. What sort of error might she be making? Type IType II
 
 
 
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μ=82 Population meanσ=12 Population standard deviationsx=74 Sample mean

 

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