Glossary Statistics / Term
Consider a sequence of n independent trials, each of which can result in an outcome in any of k categories. Let pj be the probability that each trial results in an outcome in category j, j = 1, 2, … , k, so
p1 + p2 + … + pk = 100%.
The number of outcomes of each type has a multinomial distribution. In particular, the probability that the n trials result in n1 outcomes of type 1, n2 outcomes of type 2, … , and nk outcomes of type k is
n!/(n1! × n2! × … × nk!) × p1n1 × p2n2 × … × pknk,
if n1, … , nk are nonnegative integers that sum to n; the chance is zero otherwise.
Permanent link Multinomial Distribution - Creation date 2021-08-07