Inferences about the parameters of a multinomial distribution are made using a random sample of data drawn from the population of interest.
A multinomial distribution arises when an experiment consists of a fixed number of repeated trials; each trial has a discrete number of possible outcomes; the probability that a particular outcome occurs is the same for each trial; and the trials are independent, that is, the outcome of one trial does not affect the outcome of other trials.
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