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.(The questions that are in bold were already answered. This question was rejected because it said it was missing parts, so I added the other parts of the questions I answered) 1. A 95% confidence interval for the true proportion of college students with hypertension during finals week is (0.081,0.148 ). 2. We can be 80% confident that the true proportion of college students with hypertension during finals week is 0.114 with a margin of error of 0.022. 3. Unless our sample is among the most unusual 10% of samples, the true proportion of college students with hypertension during finals week is between 0.086 and 0.142 . 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?
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.(The questions that are in bold were already answered. This question was rejected because it said it was missing parts, so I added the other parts of the questions I answered)
1. A 95% confidence interval for the true proportion of college students with hypertension during finals week is (0.081,0.148 ).
2. We can be 80% confident that the true proportion of college students with hypertension during finals week is 0.114 with a margin of error of 0.022.
3. Unless our sample is among the most unusual 10% of samples, the true proportion of college students with hypertension during finals week is between 0.086 and 0.142 .
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? (I asked this question before, but the answer was wrong)
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