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

Multiple Choice

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.