# just need help with the 9th question

Anonymous

Question description

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 () .
4The probability, at 60% confidence, that a given college donor will have hypertension during finals week is() , with a margin of error of() .
5Assuming 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() .
6We are 99% confident that the true proportion of college students with hypertension during finals week is() , with a margin of error of() .
7Assuming 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() .

8Covering 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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