Confidence interval for true proportion and its assumptions


Biting an un-popped kernel of popcorn hurts! As the experiment, the self-confessed connoisseur of cheap popcorn carefully counted 773 kernels and put them in popper. After popping, the un-poppedkernels were counted. There were 86.

a) Make a 90 percent confidence interval for proportion of all kernels that would not pop.

b) Check normality assumption.

c) Try the Very QuickRule. Does it work well here? Why, or why not?

d) Why may this sample not be typical?

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Basic Statistics: Confidence interval for true proportion and its assumptions
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