document.write( "Question 1112685: Another Question , Help Please \r
\n" ); document.write( "\n" ); document.write( "A survey of 20 randomly sampled judges employed by the state of Florida found that they earned an average wage (including benefits) of $57.00 per hour. The sample standard deviation was $5.60 per hour. (Use t Distribution Table.)\r
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\n" ); document.write( "\n" ); document.write( "Q1) What is the best estimate of the population mean?\r
\n" ); document.write( "\n" ); document.write( "Q2) Develop a 90% confidence interval for the population mean wage (including benefits) for these employees. (Round your answers to 2 decimal places.)\r
\n" ); document.write( "\n" ); document.write( "Confidence interval for the population mean wage is between ...?... and ...?...\r
\n" ); document.write( "\n" ); document.write( "Q3)How large a sample is needed to assess the population mean with an allowable error of $1.00 at 90% confidence? (Round up your answer to the next whole number.) Sample size ?
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Algebra.Com's Answer #727722 by rothauserc(4718)\"\" \"About 
You can put this solution on YOUR website!
Q1. Use the sample mean of $57.00
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\n" ); document.write( "Q2. Standard Error(SE) = $5.60/square root(2) = 1.2522
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\n" ); document.write( "alpha(a) = 1 - (90/100) = 0.10
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\n" ); document.write( "critical probability(p*) = 1 - (a/2) = 0.95
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\n" ); document.write( "degrees of freedom(DF) = 20 - 1 = 19
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\n" ); document.write( "the critical value(CV) is the t-statistic having 19 DF and a cumulative probability of 0.95. From the t-distribution tables, the CV is 1.729
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\n" ); document.write( "Margin of Error(ME) is CV * SE = 1.729 * 1.2522 = 2.1650 approximately 2.17
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\n" ); document.write( "90% confidence interval is $57.00 + or - 2.17 = ($54.83, $59.17)
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\n" ); document.write( "Q3. We have no standard deviation for the population, so we must estimate it.
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\n" ); document.write( "Since our sample size is 20 which is < 30, we must use the t-statistic and the standard deviation of the sample($5.60)
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\n" ); document.write( "The problem states that the allowable error is $1.00, which I assume describes the margin of error(ME)
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\n" ); document.write( "ME = 1
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\n" ); document.write( "estimated population standard deviation = 5.60
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\n" ); document.write( "CV is 1.729
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\n" ); document.write( "ME = CV * standard deviation/square root(n)
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\n" ); document.write( "n = ((1.729 * 5.60)/1)^2 = 93.7488
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\n" ); document.write( "sample size(n) is 94
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