Geometric Probability Model

Geometric probability models are used when one wants to model the probability of an outcome from a discrete set of independent and random trials. In a geometric probability model, the probability of an event of interest is determined by modeling the chances that the event occurs k number of trials before the first success. In other words, this is the probability of k failures before a successful outcome. It is typically used in situations where the probability of success is low for each attempted trial, and in these cases a geometric distribution is often the best way to model the chance of a successful trial.