Multinomial Distribution Example. Bayes rule can be used to determine the probability of an event or outcome as mentioned above. The probability that player a will win any game is 20 the probability that player b will win is 30 and the probability player c will win is 50.
A binomial experiment will have a binomial distribution. Bayes rule can be used to determine the probability of an event or outcome as mentioned above. The multinomial distribution can be used to compute the probabilities in situations in which there are more than two possible outcomes.
For example suppose that two chess players had played numerous games and it was determined that the probability that player a would win is 0 40 the probability that player b would win is 0 35 and the probability that the game would end in a draw is 0 25.
Three card players play a series of matches. For example suppose that two chess players had played numerous games and it was determined that the probability that player a would win is 0 40 the probability that player b would win is 0 35 and the probability that the game would end in a draw is 0 25. Bayes rule can be used to determine the probability of an event or outcome as mentioned above. A multinomial experiment will have a multinomial distribution.
