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m Rephrase the definition for discrete random variables to "countable subset" within the sample space. Emphasized on the definition that a discrete random variable should be either infinitely or finitely countable. |
m →Definition: add a dot |
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The probability that <math>X</math> takes on a value in a measurable set <math>S\subseteq E</math> is written as
: <math>\operatorname{P}(X \in S) = \operatorname{P}(\{ \omega \in \Omega \mid X(\omega) \in S \})</math>.
===Standard case===
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