Probability Workbook for Dummies - Deborah J Rumsey

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Résumé :

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!

• Get clear explanations and examples of the key concepts of probability
• Boost your problem-solving abilities
• Gain a fundamental understanding of how probability is used in daily life
• Work through practice problems to solidify what you've learned

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....

Biographie:

Deborah J. Rumsey, PhD, is a Professor of Teaching Practice at The Ohio State University. She is the ? co-founder of CAUSE: The Consortium for the Advancement of Undergraduate Statistics Education. Dr. Rumsey is a Fellow of the American Statistical Asso?ciation and author of more than ten For Dummies titles....

Sommaire:

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