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:.

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On the distribution of the bulb, the central limit theorem say that the average burnout time of a large number of bulbs has a distribution that is close to Normal.

What is the central limit theorem?

The central limit theorem states that the distribution of sample means the normal distribution as the sample size gets larger.

Thus, on the distribution of the bulb, the central limit theorem say that the average burnout time of a large number of bulbs has a distribution that is close to Normal.

Therefore, the Option A is correct

Missing options "A. The average burnout time of a large number of bulbs has a distribution that is close to Normal. B. 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. 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."

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