Examples of discrete random variable in the following topics:










 A stochastic process is a collection of random variables that is often used to represent the evolution of some random value over time.
 In probability theory, a stochastic processsometimes called a random process is a collection of random variables that is often used to represent the evolution of some random value, or system, over time.
 In the simple case of discrete time, a stochastic process amounts to a sequence of random variables known as a time seriesfor example, a Markov chain.
 Random variables are nondeterministic (single) quantities which have certain probability distributions.
 Random variables corresponding to various times (or points, in the case of random fields) may be completely different.