Question: If the company wanted to detect a difference of 2 minutes in their hold times, how many samples should they have tested in Question 1 in order to have only a 10% chance of a type 2 error. Assume that the population standard deviation for the hold times is 2.0 minutes. How many samples would be needed to detect a difference of 1.5 minutes? 1.0 minute? Explain what the type 2 error would be in this application. Since they have already tested 30 hold times, what was the power of the test (with a difference of 2.0, 1.5 and 1.0 minute)? Copy and paste your output from Minitab.

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