Web Reference: Jul 23, 2025 · Unlike discrete variables, which consist of distinct, separate values, continuous variables can represent an infinite number of possible values, including fractional and decimal values. Mar 26, 2016 · In statistics, numerical random variables represent counts and measurements. They come in two different flavors: discrete and continuous, depending on the type of outcomes that are possible: Discrete random variables. To summarize, the difference between discrete and continuous probability distributions has to do with the nature of the random variables they represent. Discrete probability distributions are associated with variables that take on a finite or countably infinite number of distinct values.
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