A study of voting chose 663 registered voters at random shortly after an election. Of these, 72% said they had voted in the election. Election records show that only 56% of registered voters voted in the election. The boldface number is a A. parameter. B. sampling distribution. C. statistic. D. None of the above. (b) The Bureau of Labor Statistics announces that last month it interviewed all members of the labor force in a sample of 60000 households; 4.9% of the people interviewed were unemployed. The boldface number is a A. parameter. B. statistic. C. sampling distribution. D. None of the above. (c) The number of hours a light bulb burns before failing varies from bulb to bulb. The distribution of burnout times is strongly skewed to the right. The central limit theorem says that A. the average burnout time of a large number of bulbs has a distribution of the same shape (strongly skewed) as the distribution for individual bulbs. B. the average burnout time of a large number of bulbs has a distribution that is close to Normal. C. as we look at more and more bulbs, their average burnout time gets ever closer to the mean for all bulbs of this type. D. None of the above.
A study of voting chose 663 registered voters at random shortly after an election. Of these, 72% said they had voted in the election. Election records show that only 56% of registered voters voted in the election. The boldface number is a
A. parameter.
B. sampling distribution.
C. statistic.
D. None of the above.
(b) The Bureau of Labor Statistics announces that last month it interviewed all members of the labor force in a sample of 60000 households; 4.9% of the people interviewed were unemployed. The boldface number is a
A. parameter.
B. statistic.
C. sampling distribution.
D. None of the above.
(c) The number of hours a light bulb burns before failing varies from bulb to bulb. The distribution of burnout times is strongly skewed to the right. The central limit theorem says that
A. the average burnout time of a large number of bulbs has a distribution of the same shape (strongly skewed) as the distribution for individual bulbs.
B. the average burnout time of a large number of bulbs has a distribution that is close to Normal.
C. as we look at more and more bulbs, their average burnout time gets ever closer to the mean for all bulbs of this type.
D. None of the above.
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