13. We have used a confidence level of 95% to estimate the average hours of television viewing for residents in a retirement home. What is the chance that our interval estimate does not contain the true population mean? (4%) A. 95% B. 5% C. 2.5% D. None of the above 14. There are about 4 million eligible voters in a society. A public opinion pollster has estimated their probable choices for the next president with a sample of 4,000 randomly selected citizens. In this example, the 4,000 citizens are a _____ and the 4 million eligible voters are a _____. (4%) A. Population, sample B. Statistics, parameters C. Parameters, statistics D. sample, population 15. In developing an interval estimate for a population mean, the population standard deviation was known. A 95% confidence interval was used. The interval estimate was [30 - 3:92; 30 + 3:92]. What would be the interval estimate if sample size (n) is quadrupled? (4%) A. [30 - 1:96; 30 + 1:96] B. [30 - 3:92; 30 + 3:92] C. [30 - 7:84; 30 + 7:84] D. Cannot be determined. 16. The more efficient the estimate, the more the sampling distribution (4%) A. is clustered around the mean. B. is evenly spread from the mean to ± 2 standard deviations. C. becomes flatter. D. clusters to the right of the mean. 17. In estimation procedures, as the alpha level decreases, the corresponding Z score (4%) A. moves closer to the mean of the sampling distribution. B. becomes positive. C. moves away from the mean of the sampling distribution. D. becomes negative. 18. In estimation procedures, _____ are estimated based on the value of _____ . (4%) A. statistics, parameters B. parameters, statistics C. variances, means D. means, variances 19. The standard error of the mean is the same thing as (4%) A. the variance of a sample. B. the standard deviation of a sampling distribution. C. the standard deviation of a population. D. the standard deviation of a sample. 20. Two sample statistics are unbiased estimators. They are (4%) A. proportions and variances. B. means and proportions. C. means and standard deviations. D. proportions and standard deviations. 21. In comparing a sampling distribution with a population distribution, (4%) A. there will always be more variance in the population distribution. B. there will always be more variance in the sampling distribution. C. as the size of the sample increases the two distributions will become identical. D. the two distributions will always be the same. 22. Wider confidence intervals (4%) A. are sure to include the population value. B. do not alter the chance of including the population value. C. are less likely to include the population value. D. are more likely to include the population value. 23. The width of an interval estimate can be controlled by (4%) A. changing the confidence level. B. changing the sample size. C. Both a and b. D. None of the above. 24. Social scientists gather data from samples instead of populations because (4%) A. samples are more trustworthy. B. populations are often too large to test. C. samples are much larger and more complete. D. samples are more meaningful and interesting. 25. As our confidence in an interval estimate increases, the width of the interval (4%) A. remains the same. B. increases. C. increases or decreases depending on the alpha level. D. decreases.

13. We have used a confidence level of 95% to estimate the average hours of television viewing for residents in a retirement home. What is the chance that our interval estimate does not contain the true population mean? (4%) A. 95% B. 5% C. 2.5% D. None of the above 14. There are about 4 million eligible voters in a society. A public opinion pollster has estimated their probable choices for the next president with a sample of 4,000 randomly selected citizens. In this example, the 4,000 citizens are a ___ and the 4 million eligible voters are a _. (4%) A. Population, sample B. Statistics, parameters C. Parameters, statistics D. sample, population 15. In developing an interval estimate for a population mean, the population standard deviation was known. A 95% confidence interval was used. The interval estimate was [30 - 3:92; 30 + 3:92]. What would be the interval estimate if sample size (n) is quadrupled? (4%) A. [30 - 1:96; 30 + 1:96] B. [30 - 3:92; 30 + 3:92] C. [30 - 7:84; 30 + 7:84] D. Cannot be determined. 16. The more efficient the estimate, the more the sampling distribution (4%) A. is clustered around the mean. B. is evenly spread from the mean to ± 2 standard deviations. C. becomes flatter. D. clusters to the right of the mean. 17. In estimation procedures, as the alpha level decreases, the corresponding Z score (4%) A. moves closer to the mean of the sampling distribution. B. becomes positive. C. moves away from the mean of the sampling distribution. D. becomes negative. 18. In estimation procedures, _ are estimated based on the value of ___ . (4%) A. statistics, parameters B. parameters, statistics C. variances, means D. means, variances 19. The standard error of the mean is the same thing as (4%) A. the variance of a sample. B. the standard deviation of a sampling distribution. C. the standard deviation of a population. D. the standard deviation of a sample. 20. Two sample statistics are unbiased estimators. They are (4%) A. proportions and variances. B. means and proportions. C. means and standard deviations. D. proportions and standard deviations. 21. In comparing a sampling distribution with a population distribution, (4%) A. there will always be more variance in the population distribution. B. there will always be more variance in the sampling distribution. C. as the size of the sample increases the two distributions will become identical. D. the two distributions will always be the same. 22. Wider confidence intervals (4%) A. are sure to include the population value. B. do not alter the chance of including the population value. C. are less likely to include the population value. D. are more likely to include the population value. 23. The width of an interval estimate can be controlled by (4%) A. changing the confidence level. B. changing the sample size. C. Both a and b. D. None of the above. 24. Social scientists gather data from samples instead of populations because (4%) A. samples are more trustworthy. B. populations are often too large to test. C. samples are much larger and more complete. D. samples are more meaningful and interesting. 25. As our confidence in an interval estimate increases, the width of the interval (4%) A. remains the same. B. increases. C. increases or decreases depending on the alpha level. D. decreases.

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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13.	We have used a confidence level of 95% to estimate the average hours of television viewing for residents in a retirement home. What is the chance that our interval estimate does not contain the true population mean? (4%)
	A.	95%
	B.	5%
	C.	2.5%
	D.	None of the above

14.	There are about 4 million eligible voters in a society. A public opinion pollster has estimated their probable choices for the next president with a sample of 4,000 randomly selected citizens. In this example, the 4,000 citizens are a _____ and the 4 million eligible voters are a _____. (4%)
	A.	Population, sample
	B.	Statistics, parameters
	C.	Parameters, statistics
	D.	sample, population

15.	In developing an interval estimate for a population mean, the population standard deviation was known. A 95% confidence interval was used. The interval estimate was [30 - 3:92; 30 + 3:92]. What would be the interval estimate if sample size (n) is quadrupled? (4%)
	A.	[30 - 1:96; 30 + 1:96]
	B.	[30 - 3:92; 30 + 3:92]
	C.	[30 - 7:84; 30 + 7:84]
	D.	Cannot be determined.

16.	The more efficient the estimate, the more the sampling distribution (4%)
	A.	is clustered around the mean.
	B.	is evenly spread from the mean to ± 2 standard deviations.
	C.	becomes flatter.
	D.	clusters to the right of the mean.

17.	In estimation procedures, as the alpha level decreases, the corresponding Z score (4%)
	A.	moves closer to the mean of the sampling distribution.
	B.	becomes positive.
	C.	moves away from the mean of the sampling distribution.
	D.	becomes negative.

18.	In estimation procedures, _____ are estimated based on the value of _____ . (4%)
	A.	statistics, parameters
	B.	parameters, statistics
	C.	variances, means
	D.	means, variances

19.	The standard error of the mean is the same thing as (4%)
	A.	the variance of a sample.
	B.	the standard deviation of a sampling distribution.
	C.	the standard deviation of a population.
	D.	the standard deviation of a sample.

20.	Two sample statistics are unbiased estimators. They are (4%)
	A.	proportions and variances.
	B.	means and proportions.
	C.	means and standard deviations.
	D.	proportions and standard deviations.

21.	In comparing a sampling distribution with a population distribution, (4%)
	A.	there will always be more variance in the population distribution.
	B.	there will always be more variance in the sampling distribution.
	C.	as the size of the sample increases the two distributions will become identical.
	D.	the two distributions will always be the same.

22.	Wider confidence intervals (4%)
	A.	are sure to include the population value.
	B.	do not alter the chance of including the population value.
	C.	are less likely to include the population value.
	D.	are more likely to include the population value.

23.	The width of an interval estimate can be controlled by (4%)
	A.	changing the confidence level.
	B.	changing the sample size.
	C.	Both a and b.
	D.	None of the above.

24.	Social scientists gather data from samples instead of populations because (4%)
	A.	samples are more trustworthy.
	B.	populations are often too large to test.
	C.	samples are much larger and more complete.
	D.	samples are more meaningful and interesting.

25.	As our confidence in an interval estimate increases, the width of the interval (4%)
	A.	remains the same.
	B.	increases.
	C.	increases or decreases depending on the alpha level.
	D.	decreases.

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