A discrete probability distribution counts occurrences that have countable or finite outcomes such as 1, 2, 3, and etc. This is in contrast to a continuous distribution, where outcomes can fall anywhere on a continuum. For example, all numbers greater than 0 which include numbers whose decimals continue indefinitely such as pi= 3.1415926... .