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@jemoka / Jemoka Knowledge Base / wiki/concepts/discrete_distribution.md
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--- title: "discrete distribution" type: concept related: [Parameter, Factor] source: https://www.jemoka.com/posts/kbhdiscrete_distribution/ confidence: high status: active --- A discrete set of chances: die, coin flip, etc. We use probability mass function to model such a distribution: \begin{equation} \sum_{i=1}^{n}P(X=i) = 1 \end{equation} To each member of the distribution, we assign a factor. The parameters of this distribution are the probability values you assign to each group.