document.write( "Question 188256This question is from textbook Applied Statistics in Business and Economics
\n" ); document.write( ": A sample of 20 pages was taken without replacement from the 1,591-page phone directory 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 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.
\n" ); document.write( "
\n" ); document.write( "

Algebra.Com's Answer #141136 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 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 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
\n" ); document.write( "--------------
\n" ); document.write( "The sample mean is 346.5
\n" ); document.write( "------------------------
\n" ); document.write( "(a) Construct a 95 percent confidence interval for the true mean.
\n" ); document.write( "E = 1.96 = 74.6716
\n" ); document.write( "---
\n" ); document.write( "95% C.I.: 346.5 - 74.6716 < u < 346.5 + 74.6716
\n" ); document.write( "--------------------------------------------------------------
\n" ); document.write( "(b) Why might normality be an issue here?
\n" ); document.write( "I'll leave that to you.
\n" ); document.write( "--------------------------------
\n" ); document.write( "(c) What sample size would be needed to obtain an error of ±10 square
\n" ); document.write( " millimeters with 99 percent confidence?
\n" ); document.write( "E = z
\n" ); document.write( "n = [z*s/E]^2
\n" ); document.write( "n = [1.96*170.38/10]^2 = 1115
\n" ); document.write( "------------------------------------------
\n" ); document.write( "(d) If this is not a reasonable requirement, suggest one that is.
\n" ); document.write( "Increase the error-limit requirement and/or reduce the confidence limit.
\n" ); document.write( "===========================================================================
\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H.
\n" ); document.write( "
\n" ); document.write( "
\n" );