Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved Chapter 12: Probability 12.1 Basic Concepts 12.2 Events Involving “Not” and “Or” 12.3 Conditional Probability; Events Involving “And” 12.4 Binomial Probability 12.5 Expected Value 12-2-2 © 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 12-2 Events Involving “Not” and “Or” 12-2-3 © 2008 Pearson Addison-Wesley. All rights reserved Events Involving “Not” and “Or” • Properties of Probability • Events Involving “Not” • Events Involving “Or” 12-2-4 © 2008 Pearson Addison-Wesley. All rights reserved Properties of Probability Let E be an event from the sample space S. That is, E is a subset of S. Then the following properties hold. 1. 0 P( E ) 1 (The probability of an event is between 0 and 1, inclusive.) 2. P() 0 (The probability of an impossible event is 0.) 3. P( S ) 1 (The probability of a certain event is 1.) 12-2-5 © 2008 Pearson Addison-Wesley. All rights reserved Example: Rolling a Die When a single fair die is rolled, find the probability of each event. a) the number 3 is rolled b) a number other than 3 is rolled c) the number 7 is rolled d) a number less than 7 is rolled 12-2-6 © 2008 Pearson Addison-Wesley. All rights reserved Example: Rolling a Die Solution The outcome for the die has six possibilities: {1, 2, 3, 4, 5, 6}. 1 a) P (3) 6 5 b) P (not 3) 6 c) P (7) 0 d) P (less than 7) 1 12-2-7 © 2008 Pearson Addison-Wesley. All rights reserved Events Involving “Not” The table on the next slide shows the correspondences that are the basis for the probability rules developed in this section. For example, the probability of an event not happening involves the complement and subtraction. 12-2-8 © 2008 Pearson Addison-Wesley. All rights reserved Correspondences Set Theory Logic Arithmetic Operation or Connective (Symbol) Operation or Connective (Symbol) Complement Not Subtraction Operation or Connective (Symbol) ( ) ( ) () Union Or Addition ( ) () () Intersection And Multiplication ( ) () () 12-2-9 © 2008 Pearson Addison-Wesley. All rights reserved Probability of a Complement The probability that an event E will not occur is equal to one minus the probability that it will occur. P(not E ) P( S ) P( E ) E S 1 P( E ) E So we have P( E ) P E 1 and P( E ) 1 P( E ). 12-2-10 © 2008 Pearson Addison-Wesley. All rights reserved Example: Complement When a single card is drawn from a standard 52card deck, what is the probability that is will not be an ace? Solution P (not an ace) 1 P(ace) 4 1 52 48 12 . 52 13 12-2-11 © 2008 Pearson Addison-Wesley. All rights reserved Events Involving “Or” Probability of one event or another should involve the union and addition. 12-2-12 © 2008 Pearson Addison-Wesley. All rights reserved Mutually Exclusive Events Two events A and B are mutually exclusive events if they have no outcomes in common. (Mutually exclusive events cannot occur simultaneously.) 12-2-13 © 2008 Pearson Addison-Wesley. All rights reserved Addition Rule of Probability (for A or B) If A and B are any two events, then P( A or B) P( A) P( B) P( A and B). If A and B are mutually exclusive, then P( A or B) P( A) P( B). 12-2-14 © 2008 Pearson Addison-Wesley. All rights reserved Example: Probability Involving “Or” When a single card is drawn from a standard 52card deck, what is the probability that it will be a king or a diamond? Solution P (king or diamond) P(K) P(D) P(K and D) 4 13 1 52 52 52 16 4 . 52 13 © 2008 Pearson Addison-Wesley. All rights reserved 12-2-15 Example: Probability Involving “Or” If a single die is rolled, what is the probability of a 2 or odd? Solution These are mutually exclusive events. P(2 or odd) P(2) P(odd) 1 6 3 6 4 2 . 6 3 12-2-16 © 2008 Pearson Addison-Wesley. All rights reserved