Freshly Printed - allow 7 days lead
Couldn't load pickup availability
Probability For Dummies
Deborah J. Rumsey (Author)
9781394281886, Wiley
Paperback / softback, published 14 November 2024
400 pages
23.1 x 18.8 x 2.5 cm, 0.567 kg
Learn how to calculate your chances with easy-to-understand explanations of probability Probability—the likelihood or chance of an event occurring—is an important branch of mathematics used in business and economics, finance, engineering, physics, and beyond. We see probability at work every day in areas such as weather forecasting, investing, and sports betting. Packed with real-life examples and mathematical problems with thorough explanations, Probability For Dummies helps students, professionals, and the everyday reader learn the basics. Topics include set theory, counting, permutations and combinations, random variables, conditional probability, joint distributions, conditional expectations, and probability modeling. Pass your probability class and play your cards right, with this accessible Dummies guide. Probability For Dummies is the perfect Dummies guide for college students, amateur and professional gamblers, investors, insurance professionals, and anyone preparing for the actuarial exam.
Introduction 1 Part 1: The Certainty of Uncertainty: Probability Basics 5 Chapter 1: The Probability in Everyday Life 7 Chapter 2: Coming to Terms with Probability 17 Chapter 3: Picturing Probability: Venn Diagrams, Tree Diagrams, and Bayes’ Theorem 41 Part 2: Counting on Probability and Betting to Win 67 Chapter 4: Setting the Contingency Table with Probabilities 69 Chapter 5: Applying Counting Rules with Combinations and Permutations 79 Chapter 6: Against All Odds: Probability in Gaming 107 Part 3: From A to Binomial: Basic Probability Models 133 Chapter 7: Probability Distribution Basics 135 Chapter 8: Juggling Success and Failure with the Binomial Distribution 159 Chapter 9: The Normal (but Never Dull) Distribution 177 Chapter 10: Approximating a Binomial with a Normal Distribution 201 Chapter 11: Sampling Distributions and the Central Limit Theorem 213 Chapter 12: Estimating and Doing Hypothesis Tests with Probability 233 Part 4: Taking It Up a Notch: Advanced Probability Models 245 Chapter 13: Working with the Poisson (a Nonpoisonous) Distribution 247 Chapter 14: Covering All the Angles of the Geometric Distribution 263 Chapter 15: Making a Positive out of the Negative Binomial Distribution 273 Chapter 16: Remaining Calm about the Hypergeometric Distribution 287 Part 5: For the Hotshots: Continuous Probability Models 299 Chapter 17: Staying in Line with the Continuous Uniform Distribution 301 Chapter 18: The Exponential (and Its Relationship to Poisson) Exposed 315 Part 6: The Part of Tens 329 Chapter 19: Ten Steps to a Better Probability Grade 331 Chapter 20: Top Ten (or So) Probability Mistakes 341 Appendix: Tables for Reference 351 Index 361
Subject Areas: Mathematics [PB]
