Determining sample size to obtain the error

Reference no: EM1318604

Q1) Biting unpopped kernel of popcorn hurts! As experiment, a self-confessed connoisseur of cheap popcorn carefully counted 773 kernels and put them in popper. After popping, unpopped kernels were counted. There were 86.

a) Create a 90% confidence interval for proportion of all kernels that would not pop.

b) Check normality assumption.

c) Try Very Quick Rule. Does it work well here? Describe why, or why not?

d) Why might this sample not be typical?

Q2) A sample of 20 pages was taken with no replacement from 1,591-page phone directory Ameritech Pages Plus Yellow Pages. On each page, mean area devoted to display ads was measured

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

a) Create a 95% confidence interval for true mean.

b) Why might normality be the issue here?

c) What sample size would be required to obtain the error of ±10 square millimeters with 99 percent confidence?

d) If this is not a sensible requirement, suggest one that is.

Reference no: EM1318604

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