The Wikipedia page on "probability mass function" says "The probability mass function is often the primary means of defining a discrete probability distribution" (emphasis added). I was under the impression that those two terms were completely synonymous. What's the difference between them?
What's the difference between a probability mass function and a discrete probability distribution?
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The probability mass function is a function with whom you can calculate probability of a random variable.
Discrete probabilty distribution is about a way a random variable can behave in terms of the values it can assume.
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Note that the statement is the probability mass function can define the distribution of a discrete random variable, but the distribution is not the same thing as the distribution function
The probability mass function for a discrete random variable $X$ is $P(X = k)$. The probability distribution function often refers to the cumulative distribution function, $P(X \leq k)$.
I think when speaking or writing, people often drop the 'function' at the end, hopefully it'll be clear from context what they mean.
The difference is subtle. I think it helps to realize that a (probability) distribution is a more general concept. A distribution is something intrinsic to a random variable and determines/describes the behaviour of it. In contrast, a probability mass function (PMF) is one way to concretely describe the distribution quantitatively. Things to note: