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One personality test available on the World Wide Web has a subsection designed to assess the...

One personality test available on the World Wide Web has a subsection designed to assess the "honesty" of the test-taker. After taking the test and seeing your score for this subsection, you're interested in the mean score, μ, among the general population on this subsection. The website reports that μ is 145, but you believe that μ is greater than 145. You decide to do a statistical test. You choose a random sample of people and have them take the personality test. You find that their mean score on the subsection is 152 and that the standard deviation of their scores is 25. 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 text, what is a type II error?

A Type II error is ?____the hypothesis that μ is____ ? when, in fact, μ is ?____.

Suppose that you decide to reject the null hypothesis. What sort of error might you be making? ?Type IType II
Math   Statistics-And-Probability   
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Answer #1

null hypothesis (H0):

alternative hypothesis (H1):

H1 is claim

Fail to reject null hypothesis when it is false is type 2 error.

A type 2 error is when statistic does not give enough evidence to reject a null hypothesis even when the null hypothesis should factually be rejected.

Type II error is fail to reject the hypothesis that μ is equal to 145.when in fact , μ is greater than 145

Suppose that you decide to reject the null hypothesis. What sort of error might you be making?

when we decide to reject the null hypothesis we are making type 1 error.

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