A First Course in Probability | Mathematics | Ninth Edition | By Pearson

A First Course in Probability, 9e is a text that endeavors to present not only the mathematics of probability theory, but also, through numerous examples, the many diverse applications of the subject. Aside from a multitude of changes made to increase the clarity of the text, the new edition includes many new and updated problems, exercises and text material chosen both for inherent interest and for their use in building student intuition about probability.

Intuitive explanations are supported with an abundance of examples to give readers a thorough introduction to both the theory and applications of probability.

Analysis is unique to the text and elegantly designed. Examples include the knockout tournament and multiple players gambling ruin problem, as well as the new results concerning the sum of uniform and the sum of geometric random variables.

Three sets of exercises are given at the end of each chapter. These include Problems, Theoretical Exercises and Self-Test Problems and Exercises. The Self-Test Problems and Exercises include complete solutions in the appendix, allowing students to test their comprehension and study for exams.

Intuitive explanations are supported with an abundance of examples to give readers a thorough introduction to both the theory and applications of probability. Analysis is unique to the text and elegantly designed. Examples include the knockout tournament and multiple players gambling ruin problem, as well as the new results concerning the sum of uniform and the sum of geometric random variables.

Three sets of exercises are given at the end of each chapter. These include Problems, Theoretical Exercises and Self-Test Problems and Exercises. The Self-Test Problems and Exercises include complete solutions in the appendix, allowing students to test their comprehension and study for exams.

Preface

1 Combinatorial Analysis

2 Axioms of Probability

3 Conditional Probability and Independence

4 Random Variables

5 Continuous Random Variables

6 Jointly Distributed Random Variables

7 Properties of Expectation

8 Limit Theorems

9 Additional Topics

10 Simulation

Answers to Selected Problems

Solutions to Self-Test Problems and Exercises

Index.