Chapter 4 – Probability and Counting Rules section 4.2 – Addition Rules for Probability

1 / 6

# Chapter 4 – Probability and Counting Rules section 4.2 – Addition Rules for Probability - PowerPoint PPT Presentation

Chapter 4 – Probability and Counting Rules section 4.2 – Addition Rules for Probability. Addition Rules for Probability. Mutually Exclusive two events are mutually exclusive if they cannot occur at the same time (they have no outcomes in common ).

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.

## PowerPoint Slideshow about 'Chapter 4 – Probability and Counting Rules section 4.2 – Addition Rules for Probability' - daria-allison

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

### Chapter 4 – Probability and Counting Rulessection 4.2 – Addition Rules for Probability

Mutually Exclusive

two events are mutually exclusive if they cannot occur at the same time (they have no outcomes in common).

Which of the following are mutually exclusive?

• getting an odd number and getting an even?
• getting a 3 and getting an odd?
• getting an odd and getting a number less than 4?

• When two events are mutually exclusive, the probability that A or B will occur is
• P(A or B) = P(A) + P(B)
• At a political rally, there are 20 Republicans, 13 Democrats and 6 Independents. If a person is selected at random, what is the probability that he or she is either a Republican or Democrat?

• When two events are not mutually exclusive, then
• P(A or B) = P(A) + P(B) – P(A and B)
• On New Year’s Eve, the probability of a person’s driving while intoxicated is 0.32, the probability of a person having an 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’s driving while intoxicated or having a driving accident.