1. Copyright © by Holt, Rinehart and Winston. All Rights Reserved. Objectives Find the theoretical probability of an event. Apply the Fundamental Counting Principle. 10.1 Introduction to Probability

2. Copyright © by Holt, Rinehart and Winston. All Rights Reserved. Glossary Terms event experiment experimental probability Fundamental Counting Principle probability random sample space theoretical probability trial 10.1 Introduction to Probability

3. Copyright © by Holt, Rinehart and Winston. All Rights Reserved. Rules and Properties Theoretical Probability 10.1 Introduction to Probability P(A) = # of outcomes in event A # of outcomes in the sample space If all outcomes are equally likely:

4. Copyright © by Holt, Rinehart and Winston. All Rights Reserved. Rules and Properties Fundamental Counting Principle 10.1 Introduction to Probability If there are m ways that one event can occur and n ways that another event can occur, then there are m  n ways that both events can occur.

5. Copyright © by Holt, Rinehart and Winston. All Rights Reserved. Key Skills Find the theoretical probability of an event. 10.1 Introduction to Probability Each letter of the word OUTCOME is written on a card and one is chosen at random. The probability that the letter is a vowel is 4 7  0.57 = 57%

6. Copyright © by Holt, Rinehart and Winston. All Rights Reserved. Key Skills Apply the Fundamental Counting Principle. 10.1 Introduction to Probability A cafeteria offers 3 main dishes, 2 salads, and 4 desserts. By the Fundamental Counting Principle, there are 3  2  4 = 24 ways to chose a meal. TOC