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Probability Workbook For Dummies
Deborah J. Rumsey (Author)
9781394368167, Wiley
Paperback / softback, published 2 April 2026
288 pages
24.9 x 20.3 x 1.8 cm, 0.476 kg
Sharpen your probability skills What are the chances you'll ace your next exam? Land that promotion? Beat the house in Vegas? With Probability Workbook For Dummies, you'll stop guessing and start knowing. This book is your practical toolkit for learning to calculate the probability of, well, anything. Through crystal-clear explanations and real-world scenarios, you'll discover how probability shapes every decision you make—and how understanding it gives you a serious edge. You'll practice set theory, counting, permutations, combinations, conditional expectations, probability modeling, and beyond, and strengthen your analytical muscles with hands-on exercises that transform abstract concepts into practical skills. Probability Workbook For Dummies will help you play your cards right! This Dummies guide is a great resource for high school and college students enrolled in statistics or probability courses. It's also helpful for professionals who need a refresher, as well as anyone interested in deepening their understanding of probability.
Introduction 1 Part 1: The Certainty of Uncertainty: Probability Basics 5 Chapter 1: Seeing Probability in Everyday Life 7 Chapter 2: Teaming up with Probability Terms and Rules 15 Chapter 3: Picturing Probabilities: Venn Diagrams, Trees, and Bayes’ Theorem 29 Part 2: Counting on Probability and Betting to Win. 43 Chapter 4: Setting the Contingency Table with Probabilities. 45 Chapter 5: Unraveling Counting Rules 59 Chapter 6: Against All Odds: Probability in Gaming. 75 Part 3: From A to Binomial: Basic Probability Distributions 89 Chapter 7: Dealing with Discrete Probability Distributions. 91 Chapter 8: Juggling Success and Failure with the Binomial Distribution. 101 Chapter 9: Normalizing the Normal Distribution. 111 Chapter 10: Approximating a Binomial with a Normal Distribution 125 Chapter 11: Sampling Distributions and the Central Limit Theorem. 135 Chapter 12: Probability’s Role in Confidence Intervals and Hypothesis Tests. 147 Part 4: Taking It up a Notch: Advanced Probability Models. 157 Chapter 13: Working with the Poisson (a Nonpoisonous) Distribution. 159 Chapter 14: Covering All Angles of the Geometric Distribution. 171 Chapter 15: Making a Positive Out of the Negative Binomial Distribution. 183 Chapter 16: Not Getting Hyper about the Hypergeometric Distribution. 193 Part 5: For the Hotshots: Continuous Probability Models. 205 Chapter 17: Staying in Line with the Continuous Uniform Distribution 207 Chapter 18: Exposing the Exponential Distribution (and Its Relationship to Poisson) 221 Part 6: The Part of Tens 233 Chapter 19: Top Ten Probability Mistakes. 235 Chapter 20: Ten Probability Distributions to Compare. 243 Appendix A: Tables for Reference 255 Index 265
Subject Areas: Mathematics [PB]
