QMS 102 Chapter Notes - Chapter 5-8: Sampling Distribution, Systematic Sampling, Poisson Distribution
Document Summary
Probability is determining the probability that a particular event will occur. Probability of occurrence = x / t where x = the number of ways in which a particular event occurs and t. Joint probability refers to the probability of an occurrence involving two or more events. The marginal probability of an event consists of a set of joint probabilities. Two events are mutually exclusive if both the events cannot occur simultaneously. Conditional probability refers to the probability of event a, given information about the occurrence of another event b. Example 1 (joint probability): find the probability that a randomly selected household that purchased a big-screen television also purchased a plasma-screen television and a dvr. P (purchased screen and dvr) = 38 / 300 = 0. 127 or 12. 7%. Example 2 (marginal probability): referring to example 1, find the probability of the households that purchased a plasma screen or a dvr.