The Central Limit Theorem Tells Us

Multiple Choice

The central limit theorem tells us:

A) In small samples, significance tests can't be trusted.
B) In small samples, the assumptions of parametric tests matter less.
C) If the sample is large enough we can assume homogeneity of variance.
D) If the sample is large enough, the sampling distribution of a parameter will be normal.