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Mathematics, 13.11.2019 20:31 Jaimsters

Among college-age students (18-24 years old), 9.2% have hypertension. during a blood-donor program conducted during finals week, a blood-pressure reading is taken first, revealing that out of 200 donors, 29 have hypertension. all answers to three places after the decimal. a 95% confidence interval for the true proportion of college students with hypertension during finals week is ( , ). we can be 80% confident that the true proportion of college students with hypertension during finals week is with a margin of error of . 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 . the probability, at 60% confidence, that a given college donor will have hypertension during finals week is , with a margin of error of . 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 . we are 99% confident that the true proportion of college students with hypertension during finals week is , with a margin of error of . 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 . 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? 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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Among college-age students (18-24 years old), 9.2% have hypertension. during a blood-donor program c...
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