Question 1

It can be said that the sampling distribution is approximately normal if each sample observation is independent and there are at least 10 successes and 8 failures.

Group of answer choices

True

False

Question 2

The variable q represents 1 - p in the success-failure condition.

Group of answer choices

True

False

Question 3

In setting up a right tail hypothesis test, the rejection region are z > 1.645. You do a single proportion hypothesis test and find your test statistic to be 1.8. You conclude to:

Group of answer choices

Make no conclusions as more information is needed.

Reject the null hypothesis

Accept the alternative hypothesis.

Fail to reject null hypothesis

Question 4

A study found that in a random sample of 50 burglaries, 16% of the criminals were arrested. In a random sample of 50 car thefts, 12% of the criminals were arrested. The researchers wants to find a 90% confidence interval for the difference between the percentages of people who committed burglaries and were arrested and the percentages of people who committed car thefts and were arrested. What is the point estimate in this situation? (Assume the sampling distributionis normal).

Group of answer choices

0.04

0.12

0.28

0.16

Question 5

A study found that in a random sample of 50 burglaries, 16% of the criminals were arrested. In a random sample of 50 car thefts, 12% of the criminals were arrested. The researchers wants to find a 90% confidence interval for the difference between the percentages of people who committed burglaries and were arrested and the percentages of people who committed car thefts and were arrested. What would be the z-score used to find the 90% confidence interval?

Group of answer choices

1.96

2.58

0.04

1.645

Question 6

In a nursing home study, researchers found that 12 out of 34 randomly selected small nursing homes had a resident vaccination rate of less than 80%, while 17 out of 24 randomly selected large nursing homes had a vaccination rate of less than 80%. At

= 0.05, the researchers want to test the claim that there is no difference in the proportions of the small and large nursing homes with a resident vaccination rate of less than 80%. What are the hypothesis in this situation? (Assume the sampling distribution of p1- p2is normal).

Group of answer choices

Ho: p1 - p2 = 1; Ha: p1 - p2

1

Ho: p1- p2= 0; Ha: p1- p2

0

Ho: p1

p2; Ha: p1= p2

Ho: p1- p2

0; Ha: p1- p2= 0

Question 7

In a nursing home study, researchers found that 12 out of 34 randomly selected small nursing homes had a resident vaccination rate of less than 80%, while 17 out of 24 randomly selected large nursing homes had a vaccination rate of less than 80%. At

= 0.05, the researchers want to test the claim that there is no difference in the proportions of the small and large nursing homes with a resident vaccination rate of less than 80%. What are the the sample proportions for this situation, rounded to two decimal places? (Assume the sampling distribution of p1- p2is normal).

Group of answer choices

80%

0.35 and 0.71

0.36

0.50

Question 8

In an experimental study is done on a group of 100 men. Fifty men are put in a control group and the other fifty are placed on a strict healthy diet. After 90 days, their cholesterol was evaluated. In the control group, 35 out of 50 had high cholesterol. In the treatment group, 22 out of 50 had high cholesterol. You want to create a 95% confidence interval. What is your point estimate?

Group of answer choices

0.26

0.22

0.50

0.35

Question 9

In a Chi-Square hypothesis testing our null hypothesis is stating that the proportion are equal to what was expected.

Group of answer choices

True

False

Question 10

In a Chi-Square hypothesis testing our alternative hypothesis is that ALL the observed proportions are NOT what was expected.

Group of answer choices

True

False