3. Interval estimation - The role of sample size in confidenceintervals Suppose you are interested in the proportion of two-bedroom homes located in a particular city that are owner occupied. You randomly select a sample of two-bedroom homes from the population of two-bedroom homes in that city. The sample provides a sample proportion of 0.62. You construct a 95% confidence interval for the proportion of two-bedroom homes that are owner occupied. If the number of two-bedroom homes in the sample is 100, then the confidence interval is If the number of two-bedroom homes in the sample is 250, then the confidence interval is As the sample size increases, the confidence interval Suppose you would like to have a confidence interval that is about 0.028 wide. What sample size do you need to achieve that 0.028? (Note: Select the sample size that most closely matches the desired interval width.) 250 500 O 5,000 O 1,000
3. Interval estimation - The role of sample size in confidenceintervals Suppose you are interested in the proportion of two-bedroom homes located in a particular city that are owner occupied. You randomly select a sample of two-bedroom homes from the population of two-bedroom homes in that city. The sample provides a sample proportion of 0.62. You construct a 95% confidence interval for the proportion of two-bedroom homes that are owner occupied. If the number of two-bedroom homes in the sample is 100, then the confidence interval is If the number of two-bedroom homes in the sample is 250, then the confidence interval is As the sample size increases, the confidence interval Suppose you would like to have a confidence interval that is about 0.028 wide. What sample size do you need to achieve that 0.028? (Note: Select the sample size that most closely matches the desired interval width.) 250 500 O 5,000 O 1,000
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![3. Interval estimation - The role of sample size in confidenceintervals
Suppose you are interested in the proportion of two-bedroom homes located in a particular city that are owner occupied. You randomly select a
sample of two-bedroom homes from the population of two-bedroom homes in that city. The sample provides a sample proportion of 0.62. You
construct a 95% confidence interval for the proportion of two-bedroom homes that are owner occupied.
If the number of two-bedroom homes in the sample is 100, then the confidence interval is
If the number of two-bedroom homes in the sample is 250, then the confidence interval is
As the sample size increases, the confidence interval
Suppose you would like to have a confidence interval that is about 0.028 wide. What sample size do you need to achieve that 0.028? (Note: Select
the sample size that most closely matches the desired interval width.)
250
500
O 5,000
O 1,000](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F38e5cff6-2a95-4605-a545-c0fd9534415f%2F3d9fb80e-5da8-41e6-bac8-1eea649f9d65%2Fol3kqtf_processed.png&w=3840&q=75)
Transcribed Image Text:3. Interval estimation - The role of sample size in confidenceintervals
Suppose you are interested in the proportion of two-bedroom homes located in a particular city that are owner occupied. You randomly select a
sample of two-bedroom homes from the population of two-bedroom homes in that city. The sample provides a sample proportion of 0.62. You
construct a 95% confidence interval for the proportion of two-bedroom homes that are owner occupied.
If the number of two-bedroom homes in the sample is 100, then the confidence interval is
If the number of two-bedroom homes in the sample is 250, then the confidence interval is
As the sample size increases, the confidence interval
Suppose you would like to have a confidence interval that is about 0.028 wide. What sample size do you need to achieve that 0.028? (Note: Select
the sample size that most closely matches the desired interval width.)
250
500
O 5,000
O 1,000
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