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    Confidence interval and sample size

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    I need to know how to:
    (a) Construct a 95 percent confidence interval for the true mean.
    (b) Why might normality be an issue here?
    (c) What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
    (d) If this is not a reasonable requirement, suggest one that is.

    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:

    0 260 356 403 536 0 268 369 428 536
    268 396 469 536 162 338 403 536 536 130

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    https://brainmass.com/statistics/confidence-interval/confidence-interval-and-sample-size-161205

    Solution Summary

    This solution shows how to construct a confidence interval for a mean, explains why normality is important when sample sizes are small, and finds an appropriate sample size.

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