ENGR 371 Lecture Notes - Lecture 3: Subset, Conditional Probability, Sample Space
18 Sep 2016
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Document Summary
Probability is a number of that is assigned to each member of a collection of events from a random experiment. If s is the sample space and e is any event in the random experiment. For any two events e1 and e2 with e1 e2 = The sum of e and e" should be 1. E is the set of desired outcomes and e" is set of undesired outcomes. Generated by applying basic set operations to individual events. If a collection of events e1 are mutually exclusive, that is e1 e2 = For any given events a and b, the probability of union is the addition rule. If events a and b are mutually exclusive then. P(b | a) is the probability of event b occurring, given that event has a has already occurred. From a relative frequency perspective of n equally likely outcomes. Random means each item is equally likely to be chosen.
