The Central Limit Theorem, by definition, implies that as the sample size increases, the
A) average of the large number of independent observations has an approximate normal distribution.
B) average of the large number of independent observations reflects the leftmost tail of the distribution.
C) expected underlining distribution is only justified when n$\le$ 30.
D) expected normal distribution declines.

Question

Quizplus · Accepted Answer

The Central Limit Theorem states that the distribution of the average of a large number of independent, identically distributed variables will be approximately normal, regardless of the shape of the original distribution. This is why option A is correct.

The Central Limit Theorem, by Definition, Implies That as the Sample