A First Course in Statistics, 12th Edition

3 Probability

Contents

1. 3.1 Events, Sample Spaces, and Probability

2. 3.2 Unions and Intersections

3. 3.3 Complementary Events

4. 3.4 The Additive Rule and Mutually Exclusive Events

5. 3.5 Conditional Probability

6. 3.6 The Multiplicative Rule and Independent Events

Where We’ve Been

• Identified the objective of inferential statistics: to make inferences about a population on the basis of information in a sample

• Introduced graphical and numerical descriptive measures for both quantitative and qualitative data

Where We’re Going

• Develop probability as a measure of uncertainty (3.1)

• Introduce basic rules for finding probabilities (3.2–3.6)

• Use a probability ...