College statistics question help

Anonymous
timer Asked: Mar 18th, 2016

Question description

During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, revealing that out of 200 donors, 29 have hypertension. All answers to three places after the decimal.

1) A 95% confidence interval for the true proportion of college students with hypertension during finals week is ( , )
2) We can be 80% confident that the true proportion of college students with hypertension during finals week is with a margin of error of .
3) Unless our sample (of 200 donors) is among the most unusual 10% of samples, the true proportion of college students with hypertension during finals week is between and .
4) The probability, at 60% confidence, that a given college donor will have hypertension during finals week is , with a margin of error of .
5) Assuming our sample of donors is among the most typical half of such samples, the true proportion of college students with hypertension during finals week is between and .
6) We are 99% confident that the true proportion of college students with hypertension during finals week is , with a margin of error of .
7)Assuming our sample of donors is among the most typical 99.9% of such samples, the true proportion of college students with hypertension during finals week is between and .
8) Covering the worst-case scenario, how many donors must we examine in order to be 95% confident that we have the margin of error as small as 0.01? 
9) Using a prior estimate of 15% of college-age students having hypertension, how many donors must we examine in order to be 99% confident that we have the margin of error as small as 0.01? 


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