IRS audits The Internal Revenue Service plans to examine an SRS of individual federal income tax returns from each state. One variable of interest is the proportion of returns claiming itemized deductions. The total number of tax returns in each state varies from over 15 million in California to about 240,000in Wyoming.

(a) Will the sampling variability of the sample proportion change from state to state if an SRS of 2000tax returns is selected in each state? Explain your answer.

(b) Will the sampling variability of the sample proportion change from state to state if an SRS of 1%of all tax returns is selected in each state? Explain your answer

Short Answer

Expert verified

a). Yes, the sampling variability will differ from state to state.

b). Yes, the sampling variability will differ from state to state.

Step by step solution

01

Part (a) Step 1: Given Information

The total number of tax returns in each state varies from over 15 million in California to about 240,000 in Wyoming.

02

Part (a) Step 2: Explanation 

Yes, the sampling variability will differ from state to state, because some states will have more variability in the tax returns (more extremely low and more extremely high tax returns) as other states.

03

Part (b) Step 1: Given Information 

The total number of tax returns in each state varies from over 15 million in California to about 240,000 in Wyoming.

04

Part (b) Step 2: Explanation

We take a simple random sample of 2000 tax returns from each state.

The state of California has a larger population than the state of Wyoming.

If the SRS of 2000 students is a larger part of the population, then there will be less sampling variability for the state and thus Wyoming will have less sampling variability than California.

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Most popular questions from this chapter

The number of undergraduates at Johns Hopkins University is approximately 2000, while the number at Ohio State University is approximately 40,000. At both schools, a simple random sample of about 3%of the undergraduates is taken. Each sample is used to estimate the proportion p of all students at that university who own an iPod. Suppose that, in fact, p=0.80at both schools. Which of the following is the best conclusion?

(a) The estimate from Johns Hopkins has less sampling variability than that from Ohio State.

(b) The estimate from Johns Hopkins has more sampling variability than that from Ohio State.

(c) The two estimates have about the same amount of sampling variability.

(d) It is impossible to make any statement about the sampling variability of the two estimates since the students surveyed were different.

(e) None of the above

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(d) The sampling distribution shows how the sample mean will vary in repeated samples.

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