# Probability For Dummies

ISBN: 978-0-471-75141-0
384 pages
April 2006

## Description

Packed with practical tips and techniques for solving probability problems

Increase your chances of acing that probability exam -- or winning at the casino!

Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out probabilities can be problematic. This book helps you even the odds. Using easy-to-understand explanations and examples, it demystifies probability -- and even offers savvy tips to boost your chances of gambling success!

Discover how to
* Conquer combinations and permutations
* Understand probability models from binomial to exponential
* Make good decisions using probability
* Play the odds in poker, roulette, and other games
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Introduction.

Part I: The Certainty of Uncertainty: Probability Basics.

Chapter 1: The Probability in Everyday Life.

Chapter 2: Coming to Terms with Probability.

Chapter 3: Picturing Probability: Venn Diagrams, Tree Diagrams, and Bayes’ Theorem.

Part II: Counting on Probability and Betting to Win.

Chapter 4: Setting the Contingency Table with Probabilities.

Chapter 5: Applying Counting Rules with Combinations and Permutations.

Chapter 6: Against All Odds: Probability in Gaming.

Part III: From A to Binomial:.Basic Probability Models.

Chapter 7: Probability Distribution Basics.

Chapter 8: Juggling Success and Failure with the Binomial Distribution.

Chapter 9: The Normal (but Never Dull) Distribution.

Chapter 10: Approximating a Binomial with a Normal Distribution.

Chapter 11: Sampling Distributions and the Central Limit Theorem.

Chapter 12: Investigating and Making Decisions with Probability.

Part IV: Taking It Up a Notch: Advanced Probability Models.

Chapter 13: Working with the Poisson (a Nonpoisonous) Distribution.

Chapter 14: Covering All the Angles of the Geometric Distribution.

Chapter 15: Making a Positive out of the Negative Binomial Distribution.

Chapter 16: Remaining Calm about the Hypergeometric Distribution.

Part V: For the Hotshots: Continuous Probability Models.

Chapter 17: Staying in Line with the Continuous Uniform Distribution.

Chapter 18: The Exponential (and Its Relationship to Poisson) Exposed.

Part VI: The Part of Tens.

Chapter 19: Ten Steps to a Better Probability Grade.

Chapter 20: Top Ten (Plus One) Probability Mistakes.