The Wall Street Journal reported that 33% of taxpayers with adjusted gross incomes between $30,000 and $60,000 itemized deductions on their federal income tax return. The mean amount of deductions for this population of taxpayers was $16,434. Assume that the standard deviation is o = $2,961. Use z-table. a. What is the probability that a sample of taxpayers from this income group who have itemized deductions will show a sample mean within $180 of the population mean for each of the following sample sizes: 30, 50, 100, and 400? Round your answers to four decimals. n = 30 n= 50 n = 100 n= 400 b. What is the advantage of a larger sample size when attempting to estimate the population mean? Round your answers to four decimals. A larger sample - sSelect your answer - v the probability that the sample mean will be within a specified distance of the population mean. In the automobile insurance example, the probability of being within ±180 of µ ranges from for a sample of size 30 to| for a sample of size 400.

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part A

**The Wall Street Journal** reported that 33% of taxpayers with adjusted gross incomes between $30,000 and $60,000 itemized deductions on their federal income tax return. The mean amount of deductions for this population of taxpayers was $16,434. Assume that the standard deviation is σ = $2,961. Use a z-table.

**a.** What is the probability that a sample of taxpayers from this income group who have itemized deductions will show a sample mean within $180 of the population mean for each of the following sample sizes: 30, 50, 100, and 400? Round your answers to four decimals.

\( n = 30 \)  
\[ \]
\( n = 50 \)  
\[ \]
\( n = 100 \)  
\[ \]
\( n = 400 \)  
\[ \]

**b.** What is the advantage of a larger sample size when attempting to estimate the population mean? Round your answers to four decimals.

A larger sample \[ \text{ } \] the probability that the sample mean will be within a specified distance of the population mean. In the automobile insurance example, the probability of being within ±180 of \( μ \) ranges from \[ \text{ } \] for a sample of size 30 to \[ \text{ } \] for a sample of size 400.
Transcribed Image Text:**The Wall Street Journal** reported that 33% of taxpayers with adjusted gross incomes between $30,000 and $60,000 itemized deductions on their federal income tax return. The mean amount of deductions for this population of taxpayers was $16,434. Assume that the standard deviation is σ = $2,961. Use a z-table. **a.** What is the probability that a sample of taxpayers from this income group who have itemized deductions will show a sample mean within $180 of the population mean for each of the following sample sizes: 30, 50, 100, and 400? Round your answers to four decimals. \( n = 30 \) \[ \] \( n = 50 \) \[ \] \( n = 100 \) \[ \] \( n = 400 \) \[ \] **b.** What is the advantage of a larger sample size when attempting to estimate the population mean? Round your answers to four decimals. A larger sample \[ \text{ } \] the probability that the sample mean will be within a specified distance of the population mean. In the automobile insurance example, the probability of being within ±180 of \( μ \) ranges from \[ \text{ } \] for a sample of size 30 to \[ \text{ } \] for a sample of size 400.
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