The geometric distribution models the number of independent Bernoulli trials required to obtain the first success, where each trial has the same probability of success.
If the probability of success on each trial is denoted by p (0β―<β―pβ―β€β―1) and the random variable X represents the trial count of the first success, the probability mass function is given by the formula below.
The distribution is memoryless, meaning that the probability of needing additional trials does not depend on how many failures have already occurred. This property makes the geometric distribution useful in reliability engineering, queuing theory, and modeling waiting times in discrete settings.
What is a geometric distribution?
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