Consider a one-sample t-test with N(u, o2) data with Ho: H =0 versus HA: µ >0. It is well known that the test statistic in this case is T = X/(S//n), where X is the sample mean, S is the sample standard deviation, and n is the sample size. Under the null hypothesis, T~ tn-1.

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Consider a one-sample t-test with N(µ, o²) data with Ho : u = 0 versus HA: u> 0. It is well known that the
test statistic in this case is T = X/(S//n), where X is the sample mean, S is the sample standard deviation,
and n is the sample size. Under the null hypothesis, T tn-1.
TYLU. L. WILD
Transcribed Image Text:Question 1 Consider a one-sample t-test with N(µ, o²) data with Ho : u = 0 versus HA: u> 0. It is well known that the test statistic in this case is T = X/(S//n), where X is the sample mean, S is the sample standard deviation, and n is the sample size. Under the null hypothesis, T tn-1. TYLU. L. WILD
(b) Write a short paragraph where you discuss the following points.
(i) Describe the shapes of the histograms. In which case the histogram of p-values looks flat and
uniformly distributed over the interval [0, 1]?
(ii) Using the histograms, compare the chances of observing a p-value less than a = 0.05. How the
chances change depending on µ?
Transcribed Image Text:(b) Write a short paragraph where you discuss the following points. (i) Describe the shapes of the histograms. In which case the histogram of p-values looks flat and uniformly distributed over the interval [0, 1]? (ii) Using the histograms, compare the chances of observing a p-value less than a = 0.05. How the chances change depending on µ?
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