Gail takes many samples from a highly skewed distribution, and shows that the resulting sampling distribution is normally shaped (bell-shaped). Gail is illustrating a key aspect of:
A) inference
B) confidence intervals
C) the Central Limit Theorem
D) Chebyshev's Theorem

Question

Quizplus · Accepted Answer

This is an example of the Central Limit Theorem, which states that the sampling distribution of the mean of an independent and identically distributed random variable approaches normality as the sample size increases, regardless of the underlying distribution of the population.

Gail Takes Many Samples from a Highly Skewed Distribution, and Shows