document.write( "Question 298823: 1. By measuring the amount of time it takes a component of a product to move from one workstation to the next, an engineer has estimated that the standard deviation is 5.1 seconds.
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\n" ); document.write( "Answer each of the following (show all work):
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\n" ); document.write( "(A) How many measurements should be made in order to be 95% certain that the maximum error of estimation will not exceed 1.5 seconds?
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\n" ); document.write( "(B) What sample size is required for a maximum error of 2.5 seconds? \r
\n" ); document.write( "\n" ); document.write( " 2. Determine the critical region and critical values for z that would be used to test the null hypothesis at the given level of significance, as described in each of the following:
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\n" ); document.write( "(A) Ho: ≤ 20 and Ha:  > 20, α = 0.05
\n" ); document.write( "(B) Ho:  = 25and Ha:  ≠ 25, α = 0.01
\n" ); document.write( "(C) Ho:  ≥ 18and Ha:  < 18, α = 0.01
\n" ); document.write( "3. A 99% confidence interval estimate for a population mean was computed to be (42.0 to 50.0). Determine the mean of the sample, which was used to determine the interval estimate (show all work).
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Algebra.Com's Answer #214903 by alanc(27)\"\" \"About 
You can put this solution on YOUR website!
A.) Ok, we know our confidence interval, it is a 95% interval.\r
\n" ); document.write( "\n" ); document.write( "Our variable of interest X : the amount of time a component moves from one station to another.
\n" ); document.write( "s = 5.1 sec (Standard deviation)
\n" ); document.write( "We want to find n: the number of measurements to make such that our error doesn't exceed 1.5\r
\n" ); document.write( "\n" ); document.write( "I will assume this is a Normal distribution
\n" ); document.write( "Error is X - u. The Z variable is z = (x-u)/[s/sqrt(n)]
\n" ); document.write( "We want the Probability(X-u <= 1.5 ) >= 0.95\r
\n" ); document.write( "\n" ); document.write( "So: P((x-u)/[s/sqrt(n)] <= 1.5/[5.1*sqrt(n)] ) >= 0.95\r
\n" ); document.write( "\n" ); document.write( "But since the normal distribution is symmetric about mean, I will look for a z-value corresponding to 0.95/2 = 0.475, which is z= 1.96\r
\n" ); document.write( "\n" ); document.write( "from the z-score chart this corresponds to : 0 < z <= 1,96\r
\n" ); document.write( "\n" ); document.write( "Z = (x-u)/[s/sqrt(n)] <= 1.5/[5.1*sqrt(n)]\r
\n" ); document.write( "\n" ); document.write( "therefore sqrt(n)* 1.5/5.1 = 1.96\r
\n" ); document.write( "\n" ); document.write( "n = (5.1*1.96/1.5)^2
\n" ); document.write( "n = 44.408\r
\n" ); document.write( "\n" ); document.write( "so I would say 44 or more tests.
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\n" ); document.write( "The estimator for standard deviation is s/sqrt(n) not s/sqrt(n -1)
\n" ); document.write( " that is why I have Z = (x-u)/[s/sqrt(n)], if I used s/sqrt(n-1) as my estimator, then Z = (x-u)/[s/sqrt(n - 1)] would be my Z statistic and then n would be 45 or more tests.\r
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\n" ); document.write( "\n" ); document.write( "I assumed we used a normal distribution because the number of measurements was large. If the number of samples is small, we would be forced to use the t-distribution.\r
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