Inferences about Multinomial distribution parameters

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.

Multinomial distribution parameters hypothesis test
A hypothesis test formally tests if the population parameters are different from the hypothesized values. For a multinomial distribution, the parameters are the proportions of occurrence of each outcome.

Available in Analyse-it Editions
Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition