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Explaining confidence The admissions director for a university found that (107.8,116.2)is a 95%confidence interval for the mean IQ score of all freshmen. Discuss whether each of the following explanations is correct, based on that information.

a. There is a 95%probability that the interval from role="math" localid="1654200953396" 107.8to116.2contains μ.

b. There is a 95%chance that the interval(107.8,116.2)contains x¯.

c. This interval was constructed using a method that produces intervals that capture the true mean in 95%of all possible samples.

d. If we take many samples, about 95%of them will contain the interval (107.8,116.2).

e. The probability that the interval (107.8,116.2)captures μ is either 0 or 1, but we don’t know which.

Short Answer

Expert verified

a. The explanation of a is incorrect.

b. The explanation of b is incorrect.

c. The explanation of c is correct.

d. The explanation of d is incorrect.

e. The explanation of e is correct.

Step by step solution

01

Given Information

95% confidence interval for mean IQ is given as(107.8,116.2)

02

To determine whether there is a 95% probability for the interval from 107.8 to 116.2 contains μ

Confidence Interval may or may not contain mean μ.

Probability will be either 0or1.

It cannot be 0.95.

Explanation is incorrect.

03

To check if there is 95% chance for the interval (107.8,116.2) contains x¯

Sample mean is generally center of given confidence interval.

Probability is 1(not0.95)

Explanation is Incorrect.

04

To check is this interval was constructed using a method that produces intervals that capture the true mean in 95% of all possible samples.

True Mean is also called Population Mean.

Here, interval of 95%of possible samples contain population/true mean.

Hence, Explanation is correct.

05

To check  if about 95% of the samples taken will contain the interval (107.8,116.2)

If sample mean is samples is same, sample contains only same confidence interval. Sample mean in a lot is identical less than 95%of possible samples.

Explanation is Incorrect.

06

To check if the probability for the interval (107.8,116.2) captures μ is either 0 or 1 but it is unknown.

Population mean may or may not contain μ.

Probability is 0or1.

Explanation is correct.

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Most popular questions from this chapter

Refer to Exercise 55. Suppose that Gallup wanted to cut the margin of error in half from 3percentage points to 1.5percentage points. How should they adjust their sample size?

a. Multiply the sample size by 4.

b. Multiply the sample size by 2.

c. Multiply the sample size by 1/2.

d. Multiply the sample size by 1/4.

e. There is not enough information to answer this question.

After deciding on a 95% confidence level, the researcher is deciding between a sample of size n=500 and a sample of size n=1000. Compared with using a sample size of n=500, a confidence interval based on a sample size of n=1000 will be

a. narrower and would involve a larger risk of being incorrect.

b. wider and would involve a smaller risk of being incorrect.

c. narrower and would involve a smaller risk of being incorrect.

d. wider and would involve a larger risk of being incorrect.

e. narrower and would have the same risk of being incorrect.

Explaining confidence A 95%confidence interval for the mean body mass index (BMI) of young American women is 26.8±0.6. Discuss whether each of the following explanations is correct, based on that information.

a. We are confident that 95%of all young women have BMI between 26.2and 27.4.

b. We are 95%confident that future samples of young women will have mean BMI

between 26.2and27.4.

c. Any value from 26.2to27.4is believable as the true mean BMI of young American women.

d. If we take many samples, the population mean BMI will be between 26.2and 27.4in about 95%of those samples.

e. The mean BMI of young American women cannot be 28.

Do you go to church? The Gallup Poll plans to ask a random sample of adults

whether they attended a religious service in the last 7 days. How large a sample would be required to obtain a margin of error of at most 0.01 in a 99% confidence interval for the population proportion who would say that they attended a religious service?

Age and September 11 Refer to Exercise 42. The study also reported that 86% of

millennials included 9/11 in their top-10 list and 70% of baby boomers included 9/11.

a. Explain why you do not have enough information to give confidence intervals for

millennials and baby boomers separately.

b. Do you think a 95%confidence interval for baby boomers would have a larger or smaller margin of error than the estimate from Exercise 42? Explain your answer.

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