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We are testing to see if there is evidence that the proportion of people who ate breakfast that morning is greater than60%.We have: H0:p=0.6vsHa:p>0.6 (A)

We are testing to see if there is evidence that the proportion of people who ate breakfast that morning is greater than60%.We have:

H0:p=0.6vsHa:p>0.6

(A) What does it mean to make a Type I error in this situation?

a.We find evidence that the proportion is greater than60%.

b. .More than60%of people eat breakfast in the morning.

c. We do not find evidence that the proportion is greater than60%.

d. The proportion of all people who eat breakfast in the morning is not greater than60%.

de We find evidence that the proportion is greater than60%when the reality is that the proportion is really not greater than60%.

f. We do not find evidence that the proportion is greater than60%when the reality is that the proportion really is greater than60%.

(B) What does it mean to make a Type II error in this situation?

a. We find evidence that the proportion is greater than60%.

b. More than60%of people eat breakfast in the morning.

c. We find evidence that the proportion is greater than60%when the reality is that the proportion is really not greater than60%.

d. The proportion of all people who eat breakfast in the morning is not greater than60%.

e. We do not find evidence that the proportion is greater than60%when the reality is that the proportion really is greater than60%.

f. We do not find evidence that the proportion is greater than60%.

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