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@jemoka / Jemoka Knowledge Base / raw/concept/kbhindependently_and_identically_distributed.md
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--- title: "independently and identically distributed" source: https://www.jemoka.com/posts/kbhindependently_and_identically_distributed/ --- \(n\) random random variables are IID if they are independent identically distributed (see below) “identically distributed” Consider \(n\) random variables: \(X_i\) all have the same PMF / PDF and therefore, all have the same expectation and variance central limit theorem when things are IID, you can use central limit theorem.