A Multinomial Experiment or Distribution
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Consists of n-identical trials
Each trial results in one of k possible outcomes/classes/categories (where k>2. For k=2 we use binomial distribution)
The trials are independent
The probabilities of various outcomes remain constant from trial-to-trial. And the sum of these probabilities over the k-classes must add up to 1.
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