Question

In 2010, the IRS sampled 308,946 tax returns to obtain estimates of various parameters. Data were published in a document that said the mean income tax per return for the returns sample was $11,266.

1. Explain the meaning of sampling error in this context.

2. If, in reality, the population mean income tax per return in 2010 was $11,354, how much sampling error was made in estimating that parameter by the sample mean of $11,266?

3. If the IRS had sampled 400,000 returns instead of 308,946, would the sampling error necessarily have been smaller?

4. Explain your answer. In future surveys, how can the IRS increase the likelihood of small sampling error?

Answer 1