Question

1.Which of the following statements is not true about the level of significance in a hypothesis test?

A.The larger the level of significance, the more likely you are to reject the null hypothesis

B.The level of significance is the maximum risk we are willing to accept in making a Type II error

C.The significance level determines the total size of the rejection region(s)

D.The level of significance provides the critical value(s) of the hypothesis test

2.If an economist wishes to determine whether there is evidence that average family income in a community equals $25,000

A.either a one-tailed or two-tailed test could be used with equivalent results

B.a lower-tailed test should be utilized

C.an upper-tailed test should be utilized

D.a two-tailed test should be utilized

3.If the level of significance of a hypothesis test is raised from 0.01 to 0.05, the probability of a Type II error

A.will also increase from 0.01 to 0.05

B.will decrease

C.will not change

D.will increase

4.The president of a university would like to estimate the proportion of the student population who owns a personal computer. In a sample of 500 students, 417 own a personal computer. Which one of the following statements is false?

A.None of these is false

B. A 90% confidence interval calculated from the same data would be narrower than a 99% confidence interval

C. The parameter of interest is the proportion of the student population who own a personal computer

D.It is possible that the 99% confidence interval calculated from the data will not contain the proportion of the student population who own a personal computer

Answer 1

question 3 has been uploaded before question 2.

So check the order once.

The sequence is 1-3-2-4.