The Variance of a Distribution of Means Is Smaller Than

Multiple Choice

The variance of a distribution of means is smaller than the original population variance because

A) it is based on fewer individuals than is the original population.
B) it is an estimate of the sample parameters rather than of the original population.
C) extreme scores are less likely to affect a distribution of means.
D) the mean of a distribution of means is so different than the population mean.