8-1: Sample Spaces, Events and Probability Objectives: 1. Definition of probability 2. Applications A sample space is the set of all possible outcomes of the experiment, denoted S. An event is a subset of the sample space, denoted E. Probability of event E (under an equally likely assumption) is: number of elements in E n( E ) P( E ) = = number of elements in S n( S ) My formula: P ( E ) = # positive outcomes total possible Ex. An experiment consists of drawing one card from a standard 52-card deck. What is the probability of drawing: 1) A black card; 2) a red queen; 3) a six or club? Ex. An experiment consists of rolling two fair dice and adding the dots on the two sides facing up. Find the probability of the sum of the dots indicated in each part: 1) Sum is 8; 2) Sum is greater than 8; 3) Sum is 13; 4) Sum is not 2, 4 or 6. The sample space of rolling two dice is: Now we can update our formula: # positive outcomes P( E ) = total possible total possible−# negative outcomes = total possible Ex. In a family with 3 children, excluding multiple births, what is the probability of having 2 boys and 1 girl, in any order? Assume that a boy is as likely as a girl at each birth. Ex. In drawing 5 cards from a standard 52-card deck without replacement, what is the probability of getting 5 spades? (0.005)
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