 Any random variable can be described by its cumulative distribution function, which describes the probability that the random variable will be less than or equal to a certain value.The term "random variable" in statistics is traditionally limited to the real-valued case (formula_14).In this case, the structure of the real numbers makes it possible to define quantities such as the expected value and variance of a random variable, its cumulative distribution function, and the moments of its distribution.