Question 1

A researcher is evaluating a treatment that is expected to increase scores.If a one-tailed test with a = .05 is used,then the critical region consists of z-scores greater than 1.65.

Accepted Answer

A) True 
 B)False

Question 2

Which of the following correctly describes the effect of increasing the alpha level (for example,from .01 to .05)?​

Accepted Answer

A) ​Increase the likelihood of rejecting H0 and increase the risk of a Type I error. 
B) ​Decrease the likelihood of rejecting H0 and increase the risk of a Type I error. 
C) ​Increase the likelihood of rejecting H0 and decrease the risk of a Type I error. 
D) ​Decrease the likelihood of rejecting H0 and decrease the risk of a Type I error.

Question 3

If a hypothesis test is found to have power = 0.70,then what is the probability that the test will result in a Type II error?​

Accepted Answer

A) ​0.30 
B) ​0.70 
C) ​p > 0.70 
D) ​0.40

Question 4

A researcher expects a treatment to produce an increase in the population mean.The treatment is evaluated using a one tailed hypothesis test,and the test produces z = +1.85.Based on this result,what is the correct statistical decision?​

Accepted Answer

A) ​The researcher should reject the null hypothesis with α = .05 but not with α = .01. 
B) ​The researcher should reject the null hypothesis with either α = .05 or α = .01. 
C) ​The researcher should fail to reject H0 with either α = .05 or α = .01. 
D) ​The researcher should change α.

Question 5

Which of the following will increase the power of a statistical test?​

Accepted Answer

A) ​Change α from .05 to .01 
B) ​Change from a one-tailed test to a two-tailed test 
C) ​Change the sample size from n = 25 to n = 100 
D) ​None of the other three options will increase the power.

Question 6

If the power for a hypothesis test is calculated to be 0.80,then for same test,the probability of a Type II error is 0.20.

Accepted Answer

A) True 
 B)False

Question 7

A Type I error occurs when a treatment actually does have an effect on the scores but the effect was not large enough to reject the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 8

Which of the following accurately describes the effect of increasing the sample size?​

Accepted Answer

A) ​Increases the standard error and has no effect on the risk of a Type I error 
B) ​Decreases the standard error and has no effect on the risk of a Type I error 
C) ​Increases the risk of a Type I error and has no effect on the standard error 
D) ​Decreases the risk of a Type I error and has no effect on the standard error

Question 9

a researcher is conducting an experiment to evaluate a treatment that is expected to increase the scores for individuals in a population which is known to have a mean of ? = 80.The results will be examined using a one-tailed hypothesis test.Which of the following is the correct statement of the null hypothesis??

Accepted Answer

A)  $$\mu > 80$$ 
B) $$\mu \geq 80$$ 
C)  $$\mu < 80$$ 
D) $$\mu \leq 80$$

Question 10

When is there a risk of a Type I error?​

Accepted Answer

A) ​Whenever H0 is rejected 
B) ​Whenever H1 is rejected 
C) ​Whenever the decision is "fail to reject H0" 
D) ​The risk of a Type I error is independent of the decision from a hypothesis test.

Question 11

If the research prediction is that the treatment will decrease scores,then the critical region for a directional test will be in the left-hand tail.

Accepted Answer

A) True 
 B)False

Question 12

In general,the null hypothesis states that the treatment has no effect on the population parameter being studied.​

Accepted Answer

A) True 
 B)False

Question 13

Which of the following represents the probability of a Type II error?​

Accepted Answer

A) ​µ 
B) ​σ 
C) ​β 
D) ​α

Question 14

What is measured by the denominator of the z-score test statistic?​

Accepted Answer

A) ​The average distance between M and µ that would be expected if H0 was true 
B) ​The actual distance between M and µ 
C) ​The position of the sample mean relative to the critical region 
D) ​Whether or not there is a significant difference between M and µ

Question 15

What is the consequence of a Type I error?​

Accepted Answer

A) ​Concluding that a treatment has an effect when it really does 
B) ​Concluding that a treatment has no effect when it really has no effect 
C) ​Concluding that a treatment has no effect when it really does 
D) ​Concluding that a treatment has an effect when it really has no effect

Question 16

A directional hypothesis test is also referred to as a one-tailed test.

Accepted Answer

A) True 
 B)False

Question 17

Even if a treatment has no effect,it is still possible to obtain an extreme sample mean that is very different from the population mean.What outcome is likely if this happens?​

Accepted Answer

A) ​Reject H0 and make a Type I error. 
B) ​Correctly reject H0. 
C) ​Fail to reject H0 and make a Type II error. 
D) ​Correctly fail to reject H0.

Question 18

A researcher conducts a hypothesis test to evaluate the effect of a treatment.The hypothesis test produces a z-score of z = 2.37.Assuming that the researcher is using a two-tailed test,what decision should be made?​

Accepted Answer

A) ​The researcher should reject the null hypothesis with α = .05 but not with α = .01. 
B) ​The researcher should reject the null hypothesis with either α = .05 or α = .01. 
C) ​The researcher should fail to reject H0 with either α = .05 or α = .01. 
D) ​The researcher should ignore the results.

Question 19

The critical boundaries for a hypothesis test are z = +1.96 and 1.96.If the z-score for the sample data is z = 1.90,then what is the correct statistical decision?

Accepted Answer

A) ​Fail to reject H1 
B) ​Fail to reject H0 
C) ​Reject H1 
D) ​Reject H0

Question 20

Which of the following is an accurate definition of a Type I error?​

Accepted Answer

A) Rejecting a false null hypothesis​ 
B) ​Rejecting a true null hypothesis 
C) ​Failing to reject a false null hypothesis 
D) ​Failing to reject a true null hypothesis

Exam 8: Introduction to Hypothesis Testing

A researcher is evaluating a treatment that is expected to increase scores.If a one-tailed test with a = .05 is used,then the critical region consists of z-scores greater than 1.65.

Which of the following correctly describes the effect of increasing the alpha level (for example,from .01 to .05) ?

If a hypothesis test is found to have power = 0.70,then what is the probability that the test will result in a Type II error?

A researcher expects a treatment to produce an increase in the population mean.The treatment is evaluated using a one tailed hypothesis test,and the test produces z = +1.85.Based on this result,what is the correct statistical decision?

Which of the following will increase the power of a statistical test?

If the power for a hypothesis test is calculated to be 0.80,then for same test,the probability of a Type II error is 0.20.

A Type I error occurs when a treatment actually does have an effect on the scores but the effect was not large enough to reject the null hypothesis.

Which of the following accurately describes the effect of increasing the sample size?

When is there a risk of a Type I error?

If the research prediction is that the treatment will decrease scores,then the critical region for a directional test will be in the left-hand tail.

In general,the null hypothesis states that the treatment has no effect on the population parameter being studied.

Which of the following represents the probability of a Type II error?

What is measured by the denominator of the z-score test statistic?

What is the consequence of a Type I error?

A directional hypothesis test is also referred to as a one-tailed test.

Even if a treatment has no effect,it is still possible to obtain an extreme sample mean that is very different from the population mean.What outcome is likely if this happens?

A researcher conducts a hypothesis test to evaluate the effect of a treatment.The hypothesis test produces a z-score of z = 2.37.Assuming that the researcher is using a two-tailed test,what decision should be made?

The critical boundaries for a hypothesis test are z = +1.96 and 1.96.If the z-score for the sample data is z = 1.90,then what is the correct statistical decision?

Which of the following is an accurate definition of a Type I error?

Exam 8: Introduction to Hypothesis Testing

A researcher is evaluating a treatment that is expected to increase scores.If a one-tailed test with a = .05 is used,then the critical region consists of z-scores greater than 1.65.

Which of the following correctly describes the effect of increasing the alpha level (for example,from .01 to .05) ?​

If a hypothesis test is found to have power = 0.70,then what is the probability that the test will result in a Type II error?​

A researcher expects a treatment to produce an increase in the population mean.The treatment is evaluated using a one tailed hypothesis test,and the test produces z = +1.85.Based on this result,what is the correct statistical decision?​

Which of the following will increase the power of a statistical test?​

If the power for a hypothesis test is calculated to be 0.80,then for same test,the probability of a Type II error is 0.20.

A Type I error occurs when a treatment actually does have an effect on the scores but the effect was not large enough to reject the null hypothesis.

Which of the following accurately describes the effect of increasing the sample size?​

When is there a risk of a Type I error?​

If the research prediction is that the treatment will decrease scores,then the critical region for a directional test will be in the left-hand tail.

In general,the null hypothesis states that the treatment has no effect on the population parameter being studied.​

Which of the following represents the probability of a Type II error?​

What is measured by the denominator of the z-score test statistic?​

What is the consequence of a Type I error?​

A directional hypothesis test is also referred to as a one-tailed test.

Even if a treatment has no effect,it is still possible to obtain an extreme sample mean that is very different from the population mean.What outcome is likely if this happens?​

A researcher conducts a hypothesis test to evaluate the effect of a treatment.The hypothesis test produces a z-score of z = 2.37.Assuming that the researcher is using a two-tailed test,what decision should be made?​

The critical boundaries for a hypothesis test are z = +1.96 and 1.96.If the z-score for the sample data is z = 1.90,then what is the correct statistical decision?

Which of the following is an accurate definition of a Type I error?​

Which of the following correctly describes the effect of increasing the alpha level (for example,from .01 to .05) ?

If a hypothesis test is found to have power = 0.70,then what is the probability that the test will result in a Type II error?

A researcher expects a treatment to produce an increase in the population mean.The treatment is evaluated using a one tailed hypothesis test,and the test produces z = +1.85.Based on this result,what is the correct statistical decision?

Which of the following will increase the power of a statistical test?

Which of the following accurately describes the effect of increasing the sample size?

When is there a risk of a Type I error?

In general,the null hypothesis states that the treatment has no effect on the population parameter being studied.

Which of the following represents the probability of a Type II error?

What is measured by the denominator of the z-score test statistic?

What is the consequence of a Type I error?

Even if a treatment has no effect,it is still possible to obtain an extreme sample mean that is very different from the population mean.What outcome is likely if this happens?

A researcher conducts a hypothesis test to evaluate the effect of a treatment.The hypothesis test produces a z-score of z = 2.37.Assuming that the researcher is using a two-tailed test,what decision should be made?

Which of the following is an accurate definition of a Type I error?