The number of hours a lightbulb burns before failing varies from bulb to bulb. The population distribution of burnout times is strongly skewed to the right. The central limit theorem says that: (a) as we look at more and more bulbs, their average burnout time gets ever closer to the mean m for all bulbs of this type. (b) the average burnout time of a large number of bulbs has a sampling distribution with the same shape (strongly skewed) as the population distribution. (c) the average burnout time of a large number of bulbs has a sampling distribution with a similar shape not not as extreme (skewed not not strongly) as the population distribution. d. the average burnout time of a large number of bulbds has the sampling distrbution that is close to normal. d. the average burnout time of a large number of bulbds has the sampling distrbution that is exactly normal.
The number of hours a lightbulb burns before failing varies from bulb to bulb. The population distribution of burnout times is strongly skewed to the right. The central limit theorem says that: (a) as we look at more and more bulbs, their average burnout time gets ever closer to the mean m for all bulbs of this type. (b) the average burnout time of a large number of bulbs has a sampling distribution with the same shape (strongly skewed) as the population distribution. (c) the average burnout time of a large number of bulbs has a sampling distribution with a similar shape not not as extreme (skewed not not strongly) as the population distribution. d. the average burnout time of a large number of bulbds has the sampling distrbution that is close to normal. d. the average burnout time of a large number of bulbds has the sampling distrbution that is exactly normal.
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