document.write( "Question 148331This question is from textbook
\n" ); document.write( ": Probability is not my high point. I have tried to come up with an answer, but I need assistance, please. Here is the question:\r
\n" ); document.write( "\n" ); document.write( "A sample of 20 pages was taken without replacement from the 1,591-page phone directory
\n" ); document.write( "Ameritech Pages Plus Yellow Pages. On each page, the mean area devoted to display ads was measured (a display ad is a large block of multicolored illustrations, maps, and text). The data (in
\n" ); document.write( "square millimeters) are shown below:\r
\n" ); document.write( "\n" ); document.write( "0 260 356 403 536 0 268 369 428 536
\n" ); document.write( "268 396 469 536 162 338 403 536 536 130\r
\n" ); document.write( "\n" ); document.write( "(a) Construct a 95 percent confidence interval for the true mean.
\n" ); document.write( "(b) Why might normality be an issue here?
\n" ); document.write( "(c) What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
\n" ); document.write( "(d) If this is not a reasonable requirement, suggest one that is.\r
\n" ); document.write( "\n" ); document.write( "Thank you!
\n" ); document.write( "

Algebra.Com's Answer #108773 by stanbon(75887)\"\" \"About 
You can put this solution on YOUR website!
A sample of 20 pages was taken without replacement from the 1,591-page phone directory
\n" ); document.write( "Ameritech Pages Plus Yellow Pages. On each page, the mean area devoted to display ads was measured (a display ad is a large block of multicolored illustrations, maps, and text).
\n" ); document.write( "The data (in square millimeters) are shown below:
\n" ); document.write( "0 260 356 403 536 0 268 369 428 536
\n" ); document.write( "268 396 469 536 162 338 403 536 536 130
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\n" ); document.write( "x-bar = 346.5 ; s = 170.378
\n" ); document.write( "(a) Construct a 95 percent confidence interval for the true mean.
\n" ); document.write( "I'm assuming you want a Z-Interval:
\n" ); document.write( "E = 1.96[170.378/sqrt(20] = 74.6715
\n" ); document.write( "95% CI: (x-bar-E, x-bar+E) = (346.5-74.6715 , 346.5+74.6715)
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\n" ); document.write( "(b) Why might normality be an issue here?
\n" ); document.write( "These 20 samples gathered in the way described is probably not a random
\n" ); document.write( "sample.
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\n" ); document.write( "(c) What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
\n" ); document.write( "E = z
\n" ); document.write( "n = [2.326s/E]^2
\n" ); document.write( "n = [2.326*170.378/10]^2 = 1571 when rounded up.
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\n" ); document.write( "(d) If this is not a reasonable requirement, suggest one that is.
\n" ); document.write( "You would get a smaller \"n\" if you increase the size of E or
\n" ); document.write( "decrease the size of z* by requiring less confidence.
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\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H.\r
\n" ); document.write( "\n" ); document.write( "
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