Question

question 2 (1 point)
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
none
as we look at more and more bulbs, their average burnout time gets ever closer to the mean for all bulbs of this type.
the average burnout time of a large number of bulbs has a distribution that is close to normal.
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.

Explanation:

The central limit theorem states that for a large - sample size, the sampling distribution of the sample mean will be approximately normal, regardless of the shape of the population distribution. In this case, even though the distribution of burnout times for individual bulbs is strongly skewed to the right, the average burnout time of a large number of bulbs will have a distribution that is close to normal.

Answer:

the average burnout time of a large number of bulbs has a distribution that is close to Normal.