Question 1

A marketing consulting group wants to see whether placing a seasonal cookie product on an end cap (the shelf at the end of an aisle at a store) will make a difference in sales. The average sales of the seasonal cookie for this region was 650 units. A sample of 36 stores that placed the cookie on an end cap showed a sample mean of 671 units sold with a standard deviation of 81. The resulting p-value is 0.1288; thus, the null hypothesis is not rejected. The marketing consulting group concludes that placing the cookies on an end cap does not affect sales.

What type of error is possible in this situation?

- Type I
- Type II
- Neither
- Both

Question 2

Select one answer.

10 points

An agriculture company is testing a new product that is designed to make plants grow taller. This can be thought of as a hypothesis test with the following hypotheses.

- H
_{0}: The product does not change the height of the plant. - H
_{a}: The product makes the plant grow taller.

Is the following an example of a type I or type II error?

*The sample suggests that the product makes the plant grow taller, but it actually does not change the height of the plant.*

- Type I
- Type II

Question 3

Select one answer.

10 points

Suppose the results indicate that the null hypothesis should be rejected; thus, it is possible that a type I error has been committed.

Given the type of error made in this situation, what could researchers do to reduce the risk of this error?

- Choose a 0.01 significance level instead of a 0.05 significance level.
- Increase the sample size.

Question 4

Select one answer.

10 points

Suppose the results indicate that the null hypothesis should not be rejected; thus, it is possible that a type II error has been committed.

Given the type of error made in this situation, what could researchers do to reduce the risk of this error?

- Choose a 0.01 significance level instead of a 0.05 significance level.
- Increase the sample size.

Question 1

A marketing consulting group wants to see whether placing a seasonal cookie product on an end cap (the shelf at the end of an aisle at a store) will make a difference in sales. The average sales of the seasonal cookie for this region was 650 units. A sample of 36 stores that placed the cookie on an end cap showed a sample mean of 671 units sold with a standard deviation of 81. The resulting p-value is 0.1288; thus, the null hypothesis is not rejected. The marketing consulting group concludes that placing the cookies on an end cap does not affect sales.

What type of error is possible in this situation?

- Type I
- Type II
- Neither
- Both

Question 2

Select one answer.

10 points

An agriculture company is testing a new product that is designed to make plants grow taller. This can be thought of as a hypothesis test with the following hypotheses.

- H
_{0}: The product does not change the height of the plant. - H
_{a}: The product makes the plant grow taller.

Is the following an example of a type I or type II error?

*The sample suggests that the product makes the plant grow taller, but it actually does not change the height of the plant.*

- Type I
- Type II

Question 3

Select one answer.

10 points

Suppose the results indicate that the null hypothesis should be rejected; thus, it is possible that a type I error has been committed.

Given the type of error made in this situation, what could researchers do to reduce the risk of this error?

- Choose a 0.01 significance level instead of a 0.05 significance level.
- Increase the sample size.

Question 4

Select one answer.

10 points

Suppose the results indicate that the null hypothesis should not be rejected; thus, it is possible that a type II error has been committed.

- Choose a 0.01 significance level instead of a 0.05 significance level.
- Increase the sample size.

Question 1

A marketing consulting group wants to see whether placing a seasonal cookie product on an end cap (the shelf at the end of an aisle at a store) will make a difference in sales. The average sales of the seasonal cookie for this region was 650 units. A sample of 36 stores that placed the cookie on an end cap showed a sample mean of 671 units sold with a standard deviation of 81. The resulting p-value is 0.1288; thus, the null hypothesis is not rejected. The marketing consulting group concludes that placing the cookies on an end cap does not affect sales.

What type of error is possible in this situation?

- Type I
- Type II
- Neither
- Both

Question 2

Select one answer.

10 points

An agriculture company is testing a new product that is designed to make plants grow taller. This can be thought of as a hypothesis test with the following hypotheses.

- H
_{0}: The product does not change the height of the plant. - H
_{a}: The product makes the plant grow taller.

Is the following an example of a type I or type II error?

*The sample suggests that the product makes the plant grow taller, but it actually does not change the height of the plant.*

- Type I
- Type II

Question 3

Select one answer.

10 points

Suppose the results indicate that the null hypothesis should be rejected; thus, it is possible that a type I error has been committed.

- Choose a 0.01 significance level instead of a 0.05 significance level.
- Increase the sample size.

Question 4

Select one answer.

10 points

Suppose the results indicate that the null hypothesis should not be rejected; thus, it is possible that a type II error has been committed.

- Choose a 0.01 significance level instead of a 0.05 significance level.
- Increase the sample size.

Question 1

Question 1

What type of error is possible in this situation?

What type of error is possible in this situation?

- Type I
- Type II
- Neither
- Both

Type I

Type II

Neither

Both

Question 2

Question 2

Select one answer.

Select one answer.

10 points

10 points

- H
_{0}: The product does not change the height of the plant. - H
_{a}: The product makes the plant grow taller.

_{0}: The product does not change the height of the plant.

H_{0}: The product does not change the height of the plant._{0}

_{a}: The product makes the plant grow taller.

H_{a}: The product makes the plant grow taller._{a}

Is the following an example of a type I or type II error?

Is the following an example of a type I or type II error?

- Type I
- Type II

Type I

Type II

Question 3

Question 3

Select one answer.

Select one answer.

10 points

10 points

- Choose a 0.01 significance level instead of a 0.05 significance level.
- Increase the sample size.

Choose a 0.01 significance level instead of a 0.05 significance level.

Increase the sample size.

Question 4

Question 4

Select one answer.

Select one answer.

10 points

10 points

- Choose a 0.01 significance level instead of a 0.05 significance level.
- Increase the sample size.

Choose a 0.01 significance level instead of a 0.05 significance level.

Increase the sample size.