1. Brian is investigating the average number of cars that pass by his downtown business during a 30-minute time period during the weekdays from 8-5pm. He guesses the average number of cars per 30-minute interval will be 140 cars. He takes a random sample of 40 different 30-minute intervals over a 1-week period. Based on those intervals, he finds a sample mean of 128 cars with a standard deviation of 21 cars. Would you be able to help me calculate the test statistic for Brian's hypothesis test.

A. -3.13

B. 3.32

C. -3.61

D. -1.20

2. Amy guesses the percentage of her Instagram followers who have been to out of the United States is 20%. She takes a sample of 320 followers and find that 55 of them have been out of the United States. Would you be able to help me calculate the test statistic for amy's hypothesis test.

A. -0.74

B. -1.25

C. -1.80

D. -0.17

3. Assuming 95% confidence in their work (the most commonly used level), they will need a test statistic larger than what approximate value to reject the null hypothesis?

A. About 1

B. About 2

C. About 3

D. About 4

4. Assuming 95% confidence in their work (the most commonly used level), they will need a p-value smaller than what to reject their null hypothesis?

A. .10

B. .05

C. .01

D. .0001

5. A person is conducting a hypothesis test regarding a proportion of a certain population. Suppose they get a test statistic of 1.15. What does this indicate?

A. They have strong evidence to reject the null hypothesis.

B. They do not have enough evidence to reject the null hypothesis.

6. A person is conducting a hypothesis test regarding a mean of a certain population. They get a test statistic of 3.42. What does this indicate?

A. They have strong evidence to reject the null hypothesis.

B. They do not have enough evidence to reject the null hypothesis.

7. A person is conducting a hypothesis test. Suppose they obtain a p-value of .2261. What does this indicate?

A. They have strong evidence to reject the null hypothesis.

B. They do not have enough evidence to reject the null hypothesis.