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Suppose you're planning a hypothesis test for one mean, and you know that =110{version:1.1,math:sigma= 110}. You have decided to use n=50{version:1.1,math:n = 50} measurements. Which

Suppose you're planning a hypothesis test for one mean, and you know that =110{"version":"1.1","math":"\sigma= 110"}. You have decided to use n=50{"version":"1.1","math":"n = 50"} measurements. Which one of the following correctly expresses the relationship between the probability that you will commit a Type I error and the probability that you will commit a Type II error?

Question 13 options:

a) If I somehow reduce the probability of committing a Type I error then I increase the probability of committing a Type II error.

b) If I somehow reduce the probability of committing a Type I error then I also reduce the probability of committing a Type II error.

c) I can't determine what the relationship will be, until I have data.

d) There is no specific relationship between the two probabilities.

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