leiyou

 

The correct answer is D

A Type I Error is defined as rejecting the null hypothesis when it is actually true. The probability of committing a Type I error is the significance level or alpha risk.

leiyou

 

10、The first step in the process of hypothesis testing is:

A) the collection of the sample.

B) the calculation of sample statistics.

C) to state the hypotheses.

D) selecting the test statistic.

leiyou

 

The correct answer is C

The researcher must state the hypotheses prior to the collection and analysis of the data. More importantly, it is necessary to know the hypotheses before selecting the appropriate test statistic.

leiyou

 

7、Which of the following statements is FALSE?

A) A Type I error is rejecting the null when it is actually true.

B) If a person is presumed innocent unless proven otherwise, finding a guilty person innocent is an example of a Type I error.

C) Failing to reject the null when it is false is an example of a Type II error.

D) The probability of committing a Type I error is the significance level of the test.

leiyou

 

The correct answer is B

This is a Type II error. The null hypothesis is that the defendant is innocent which is not rejected when it should have been.

leiyou

 

8、A Type I error occurs when the null hypothesis:

A) is rejected when it is true.

B) fails to be rejected when it is false.

C) is rejected when it is false.

D) fails to be rejected when it is true.

leiyou

 

The correct answer is A

A Type I error occurs when the null hypothesis is rejected when it is true. A Type II error occurs when the null hypothesis fails to be rejected when it is false.

leiyou

 

The correct answer is C

For a one-tailed z-test at the 1% level of significance, the critical z-value is z0.01 = 2.33. Since the test is one-tailed on the upper end (i.e., Ha: μ > 145,000), we use a positive z-critical value

leiyou

 

At a 1 percent level of significance, Roberts should:

A) fail to reject the null hypothesis.

B) accept the null hypothesis.

C) reject the null hypothesis.

D) neither reject nor fail to reject the null hypothesis.

leiyou

 

The correct answer is A

The decision rule is: reject H0 if z-computed > z-critical. Since 1.1875 < 2.33, Roberts will fail to reject the null.