Download presentation
Presentation is loading. Please wait.
Published byGeorgiana Black Modified over 9 years ago
1
Announcements: Bluman, Chapter 4
2
Sec 4.2 Addition Rules for Probability Bluman, Chapter 4
3
Terms Mutually exclusive events Venn Diagrams Bluman, Chapter 4
4
4.2 Addition Rules for Probability mutually exclusive events Two events are mutually exclusive events if they cannot occur at the same time (i.e., they have no outcomes in common) Bluman, Chapter 4 In your group, state an example of: A)A set of events that are mutually exclusive B)A set of events that are NOT mutually exclusive
5
4.2 Addition Rules for Probability mutually exclusive events Two events are mutually exclusive events if they cannot occur at the same time (i.e., they have no outcomes in common) Bluman, Chapter 4
6
Chapter 4 Probability and Counting Rules Section 4-2 Example 4-15 Page #200 6 Bluman, Chapter 4
7
Example 4-15: Rolling a Die Determine which events are mutually exclusive and which are not, when a single die is rolled. a. Getting an odd number and getting an even number Getting an odd number: 1, 3, or 5 Getting an even number: 2, 4, or 6 Mutually Exclusive 7 Bluman, Chapter 4
8
Example 4-15: Rolling a Die Determine which events are mutually exclusive and which are not, when a single die is rolled. b. Getting a 3 and getting an odd number Getting a 3: 3 Getting an odd number: 1, 3, or 5 Not Mutually Exclusive 8 Bluman, Chapter 4
9
Example 4-15: Rolling a Die Determine which events are mutually exclusive and which are not, when a single die is rolled. c. Getting an odd number and getting a number less than 4 Getting an odd number: 1, 3, or 5 Getting a number less than 4: 1, 2, or 3 Not Mutually Exclusive 9 Bluman, Chapter 4
10
Example 4-15: Rolling a Die Determine which events are mutually exclusive and which are not, when a single die is rolled. d. Getting a number greater than 4 and getting a number less than 4 Getting a number greater than 4: 5 or 6 Getting a number less than 4: 1, 2, or 3 Mutually Exclusive 10 Bluman, Chapter 4
11
Chapter 4 Probability and Counting Rules Section 4-2 Example 4-18 Page #201 11 Bluman, Chapter 4
12
Example 4-18: Political Affiliation At a political rally, there are 20 Republicans, 13 Democrats, and 6 Independents. If a person is selected at random, find the probability that he or she is either a Democrat or an Republican. Mutually Exclusive Events 12 Bluman, Chapter 4
13
Chapter 4 Probability and Counting Rules Section 4-2 Example 4-21 Page #202 13 Bluman, Chapter 4
14
StaffFemalesMalesTotal Nurses Physicians 8 5 Example 4-21: Medical Staff In a hospital unit there are 8 nurses and 5 physicians; 7 nurses and 3 physicians are females. If a staff person is selected, find the probability that the subject is a nurse or a male. 14 Bluman, Chapter 4 71 32 Total 10313
15
Example 4-22 On New Year’s Eve, the probability of a person driving while intoxicated is 0.32, the probability of a person having a driving accident is 0.09, and the probability of a person having a driving accident while intoxicated is 0.06. What is the probability of a person driving while intoxicated or having a driving accident?
16
Non mutually exclusive Venn diagram.
17
Mutually Exclusive Diagram A B
18
Homework Section 4.2 APPYLING CONCEPTS PAGE 203 Page 204-206, #1-25 odds
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.