MIS 301 Chapter Notes - Chapter 4: Bernoulli Trial, Random Variable

• School: SDSU
• Department: Management Information Systems
• Course: MIS 301
• Professor: K.Shaul

Document Summary

Hypergeometric x = number we are interested in coming from the group with a objects. Discrete random variable - has to be a whole number only. Population must be dividable into two and only two independent subsets. Experiment must have changing probabilities of success with each experiment. You sample without replacement and therefore each pick is not independent. Binomial distribution - compute probabilities for any binomial process b(x) is the probability of x successes in n trials when the probability of a success in any one trial is p. Random variable, x, number of successes, is discrete. There are only two possible outcomes for each trial. The n trials are independent and are related using identical conditions. Outcomes of a binomial experiment fit a binomial probability distribution. There are one or more bernoulli trials with all failures except the last one, which is a success. You keep repeating what you are doing until the first success, then you stop.