During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, revealing that out of 350 donors, 40 have hypertension. All answers to three places after the decimal . 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?
During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, revealing that out of 350 donors, 40 have hypertension. All answers to three places after the decimal
.
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?
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