1. A study constructed a 95% confidence interval for the proportion of adults in the U.S. that have had a tonsillectomy (had their tonsils removed). The confidence interval was reported to be 0.28 to 0.34. What is the margin of error for this confidence interval? A. 0.05 В. 0.31 С. 0.03

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1. A study constructed a 95% confidence interval for the proportion of adults in the
U.S. that have had a tonsillectomy (had their tonsils removed). The confidence
interval was reported to be 0.28 to 0.34. What is the margin of error for this
confidence interval?
A. 0.05
В. О.31
С. 0.03
2. In a study of perception, 110 men are tested and 24 are found to have red/green
color blindness (based on data from USA Today). Assume that this was done in a
simple random manner. A 95% confidence interval estimate of the proportion of
all men with red/green color blindness was found to be 0.14 to 0.30. If we learn
that the actual population proportion of men with red/green colorblindness is
equal to 0.12, then what can we conclude?
A. The confidence interval was wrong.
B. We would need to see the sample data to make any conclusions
C. None of the above
3. Let X be a random variable that is normally distributed with an unknown
population mean and a known population standard deviation. In order to
construct a valid confidence interval for the mean, we would need a sample size
of
A. n= 10
В. п%3D 20
C. All of the above would be make generate a valid confidence interval.
4. The margin of error for any confidence interval will decrease as the confidence
level
A. Decreases
B. decrease or increase, we need more information to determine this
C. the margin of error does not change when the confidence level changes
Transcribed Image Text:1. A study constructed a 95% confidence interval for the proportion of adults in the U.S. that have had a tonsillectomy (had their tonsils removed). The confidence interval was reported to be 0.28 to 0.34. What is the margin of error for this confidence interval? A. 0.05 В. О.31 С. 0.03 2. In a study of perception, 110 men are tested and 24 are found to have red/green color blindness (based on data from USA Today). Assume that this was done in a simple random manner. A 95% confidence interval estimate of the proportion of all men with red/green color blindness was found to be 0.14 to 0.30. If we learn that the actual population proportion of men with red/green colorblindness is equal to 0.12, then what can we conclude? A. The confidence interval was wrong. B. We would need to see the sample data to make any conclusions C. None of the above 3. Let X be a random variable that is normally distributed with an unknown population mean and a known population standard deviation. In order to construct a valid confidence interval for the mean, we would need a sample size of A. n= 10 В. п%3D 20 C. All of the above would be make generate a valid confidence interval. 4. The margin of error for any confidence interval will decrease as the confidence level A. Decreases B. decrease or increase, we need more information to determine this C. the margin of error does not change when the confidence level changes
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