Suppose you are faced with a decision about whether to take a new job or remain with the one you have. In an analogy to hypothesis testing, the alternative hypothesis is that you will be better off if you change jobs. Your friends are encouraging you to take the new job. In statistical terms, they think:
a. You should not reject the null hypothesis because a type 1 error would be more serious for you than a type 2 error.
b. You should not reject the null hypothesis because a type 2 error would be more serious for you than a type 1 error.
c. You should reject the null hypothesis because a type 1 error would be more serious for you than a type 2 error.
d. You should reject the null hypothesis because a type 2 error would be more serious for you than a type 1 error.
Question 2
A newspaper reported that researchers were surprised when a new study found no relationship between a certain food and a certain disease, because two previous studies had found a relationship. Which of the following is not likely to explain what happened?
a. The new study had lower power than the other studies, and thus failed to detect a real relationship.
b. The two prior studies each made a Type 2 error.
c. The two prior studies each made a Type 1 error.
d. The new study made a Type 2 error.
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