Deborah J. Rumsey

Statistics Workbook For Dummies with Online Practice (eBook, PDF)

• Format: PDF

Produktbeschreibung

Practice your way to a higher statistics score The adage that "practice makes perfect" is never truer than with math problems. Statistics Workbook For Dummies with Online Practice provides succinct content reviews for every topic, with plenty of examples and practice problems for each concept, in the book and online. Every lesson begins with a concept review, followed by a few example problems and plenty of practice problems. There's a step-by-step solution for every problem, with tips and tricks to help with comprehension and retention. New for this edition, free online practice quizzes for each chapter provide extra opportunities to test your knowledge and understanding. * Get FREE access to chapter quizzes in an online test bank * Work along with each chapter or use the test bank for final exam review * Discover which statistical measures are most meaningful Scoring high in your Statistics class has never been easier!

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 336
• Erscheinungstermin: 22. März 2019
• Englisch
• ISBN-13: 9781119547679
• Artikelnr.: 56060478

Autorenporträt

Deborah J. Rumsey, PhD is a longtime statistics professor at The Ohio State University specializing in statistics education. She authored Statistics For Dummies, Statistics II For Dummies, and Probability For Dummies.

Inhaltsangabe

Introduction 1

Part 1: Getting Off to a Statistically Significant Start 5

Chapter 1: Summarizing Categorical Data: Counts and Percents 7

Chapter 2: Summarizing Quantitative Data: Means, Medians, and More 17

Chapter 3: Organizing Categorical Data: Charts and Graphs 27

Chapter 4: Organizing Quantitative Data: Charts and Graphs 43

Part 2: Probability, Distributions, and the Central Limit Theorem (Are You Having Fun Yet?) 73

Chapter 5: Understanding Probability Basics 75

Chapter 6: Measures of Relative Standing and the Normal Distribution 83

Chapter 7: The Binomial Distribution 105

Chapter 8: The t-Distribution 117

Chapter 9: Demystifying Sampling Distributions and the Central Limit Theorem 123

Part 3: Guesstimating and Hypothesizing with Confidence 137

Chapter 10: Making Sense of Margin of Error 139

Chapter 11: Calculating Confidence Intervals 151

Chapter 12: Deciphering Your Confidence Interval 169

Chapter 13: Testing Hypotheses 177

Chapter 14: Taking the Guesswork Out of p-Values and Type I and II Errors 197

Part 4: Statistical Studies and the Hunt for a Meaningful Relationship 211

Chapter 15: Examining Polls and Surveys 213

Chapter 16: Evaluating Experiments 223

Chapter 17: Looking for Links in Categorical Data: Two-Way Tables 233

Chapter 18: Searching for Links in Quantitative Data: Correlation and Regression 259

Part 5: The Part of Tens 277

Chapter 19: Math Review: Ten Steps to a Better Grade 279

Chapter 20: Top Ten Statistical Formulas 289

Chapter 21: Ten Ways to Spot Common Statistical Mistakes 301

Appendix: Tables for Reference 309

Index 319