As it can be recalled that discrete random variables have only a countable number of distinct values such as 0, 1, 2, 3... etc. In other words, a discrete random variable typically comprises of a counting concept. On the other hand, continuous random variables represent entire infinite values in an interval. For that reason, continuous random variables are commonly measured instead of counted. The speed of a plane, waiting time of customers at a bank’s call center, rainfall amount in a given day and inter arrival time between two customers which arrive to the post office are commonly cited examples for continuous random variables.