Type I and Type II Errors

Consider the following null and alternative hypotheses:
H0: coffee doesn't help suppress appetite
H1: coffee helps suppress appetite

a) What are the consequences of committing a type I error?

1. You conclude that coffee helps suppress appetite but it doesn’t
2. You conclude that coffee doesn’t help suppress appetite but it actually does

b) What are the consequences of committing a type II error?

1. You conclude that coffee helps suppress appetite but it doesn’t
2. You conclude that coffee doesn’t help suppress appetite but it actually does

c) To increase the power of this test, the researcher should increase/decrease his sample size

d) As the probability of type I error increases the probability of type II error increases/decreases/doesn’t change
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