Biting an unpopped kernel of popcorn hurts!

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Biting an unpopped kernel of popcorn hurts!

Complete the following exercises:
Exercise 8.48 –
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
(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. (Data
are from a project by MBA student Daniel R. Dalach.)

Exercise 8.64
Biting an unpopped kernel of popcorn hurts! As an experiment, a self-confessed connoisseur of
cheap popcorn carefully counted 773 kernels and put them in a popper. After popping, the unpopped
kernels were counted. There were 86. (a) Construct a 90 percent confidence interval for the proportion
of all kernels that would not pop. (b) Check the normality assumption. (c) Try the Very Quick
Rule. Does it work well here? Why, or why not? (d) Why might this sample not be typical?

and complete the following:

locate a peer-reviewed article that reports original research and pertains to a specific, stated hypothesis that was used to validate a research study.

Use major databases in the Online Collection and the key search words research studies in to obtain an article.

Select communication, finance, economics, marketing, technology, or another faculty approved topic for the research study.

Prepare a 350- to 700-word analysis of your selected article. Start by identifying and summarizing the hypothesis described in the article.
Explain whether the hypothesis was rejected or accepted and what the implications of this finding are for the study.

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