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  "body": "\n## Definition\n\nLet $X$ be a real [[random variable|0DKRR22AEQ]] on a probability space $(\\Omega, \\mathcal{F}, P)$.\n$X$ is discrete if there is a [[countable set|0ZG61TFBES]] $S \\subseteq \\mathbb{R}$ with $P(X \\in S) = 1$.\nA distribution $\\mu$ on $\\mathbb{R}$ is discrete if $\\mu(S) = 1$ for some countable set $S$.\n\n## Remarks\n\nThen $P(X \\in B) = \\sum_{x \\in B \\cap S} P(X = x)$ for each Borel set $B$. So the [[probability mass function|0WF4EJP91W]] $x \\mapsto P(X = x)$ determines the law of $X$.\nThe cumulative distribution function of a discrete random variable is a step function when the set of values has no limit points. It jumps by $P(X = x)$ at each value $x$.\nThe Bernoulli, binomial, geometric and Poisson distributions are discrete.\n\n## Explanations\n\n### L1 human\n\nA discrete random variable takes values that you can list, such as $0, 1, 2, \\dots$.\nThe number of heads in ten coin tosses and the number of calls in an hour are discrete random variables.\n",
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