document.write( "Question 1172983: For the year 2010, 33% of taxpayers with adjusted gross incomes between $30,000 and $60,000
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document.write( "itemized deductions on their federal income tax return (The Wall Street Journal, October 25, 2012).
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document.write( "The mean amount of deductions for this population of taxpayers was $16,642. Assume the standard
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document.write( "deviation is 𝜎 = $2400.
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document.write( "3.1. What is the probability that a sample of taxpayers from this income group who have itemized
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document.write( "deductions will show a sample mean within $200 of the population mean for each of the
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document.write( "following sample sizes: 30, 50, 100, and 400?
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document.write( "3.2. What is the advantage of a larger sample size when attempting to estimate the population mean?
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Algebra.Com's Answer #798895 by Boreal(15235)![]() ![]() You can put this solution on YOUR website! z < (x-mean)/sd/sqrt(n) and z> (-200*sqrt(30)/2400) \n" ); document.write( "z < 200*sqrt(30)/2400 \n" ); document.write( " -0.46 < z < 0.46 \n" ); document.write( "probability is 0.3545 \n" ); document.write( "- \n" ); document.write( "with sample size of 50 \n" ); document.write( "it is \n" ); document.write( "- \n" ); document.write( "with sample size of 100 \n" ); document.write( "it is < abs (200*10/2400) or -0.83 < z < 0.83 \n" ); document.write( "probability is 0.5935 \n" ); document.write( "- \n" ); document.write( "with n=400 \n" ); document.write( "-1.67 < z < 1.67 \n" ); document.write( "probability is 0.9051 \n" ); document.write( "- \n" ); document.write( "The larger the sample size, the more likely the estimate of the population mean will be within a fixed interval. \n" ); document.write( "Confidence intervals will be narrower. The sampling distribution of the sample mean over different sample sizes will become sharper, less variable, the greater the sample size. |