E-Text DAinsley T. Smith RES/342 August 28, 2011 Walt Deckert E-Text Chapter compute Exercise: 8.48 A consider of 20 pages was taken without replacement from the 1,591-page squall directory Ameritech Pages Plus jaundiced Pages. On each page, the mean genus Ara devoted to demonstrate ads was measured (a display as is a large draw a blank of multicolored illustrations, maps, and text). The data (in squ ar millimeters) are shown infra: 02603564035360268369428536 268396469536162338403536536130 (a) Construct a 95 percent trustfulness breakup for the true mean. (b)Why might normality be an core here? (c) What sample size would be needed to chance an error of ±10 square millimeters with 99 percent authority? (d) If this is not a reasonable requirement, evoke one that is. (Data are from a project by MBA scholar Daniel R. Dalach.) A. As the race variance is understood and the test order is smaller, I wll give the t-distri bution. Excel Megastat computations are as below: 95%| corporate trust level| 346.5| mean| 170.38| standardised. deviation.| 20| n| 2.093| t (df = 19)| 79.740| half-width| 426.240| upper berth combine limit| 266.760| disbelieve confidence limit| So, a 95 % assurance interval is between 266.760 and 426.240. B.

Normality could be a problem because thither are extreme figures (0s) in the facts set. This bequeath impact the preciseness of the assurance intervals. C. As we dont have the measurements and sample magnitude, I will choose the z-distribution. Excel Megastat computations are listed below: 99%| confidence level| 346.50| mean| 170.38| s td. dev.| 20| n| 2.576| z| 98.134| hal! f-width| 444.634| upper confidence limit| 248.366| lower confidence limit| With a confidence interval of 99 %, the z-score is 2.576. An effective method to make water our answer is: (z-value X standard deviation/10)2 (2.576 X 170.38/10)2 =...If you penury to get a all-inclusive essay, order it on our website:
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