The law of small numbers describes:

A) the improved accuracy of averages to estimate relatively small numbers (on the order of 1 or 10) than relatively large numbers (on the order of 1,000 or 10,000).

B) the higher probability that small numbers (like 1, 2, and 3) occur in random samples relative to large number (like 8 or 9).

C) the tendency for people to overstate the probability associated with rare events.

D) the ability to correctly estimate the expected outcome from a small number of events.