Statistics For Dummies, 2nd Edition (9781119293521) was previously published as Statistics For Dummies, 2nd Edition (9780470911082). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.
The fun and easy way to get down to business with statistics
Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life.
Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more.
Tracks to a typical first semester statistics courseUpdated examples resonate with today's studentsExplanations mirror teaching methods and classroom protocol
Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.
Deborah J. Rumsey, PhD, is Professor of Statistics and Statistics Education Specialist at The Ohio State University. She is the author of Statistics Workbook For Dummies, Statistics II For Dummies, and Probability For Dummies.
Introduction 1 Part 1: Vital Statistics about Statistics 7 CHAPTER 1: Statistics in a Nutshell 9 CHAPTER 2: The Statistics of Everyday Life 23 CHAPTER 3: Taking Control: So Many Numbers, So Little Time 35 CHAPTER 4: Tools of the Trade 47 Part 2: Number-Crunching Basics 69 CHAPTER 5: Means, Medians, and More 71 CHAPTER 6: Getting the Picture: Graphing Categorical Data 95 CHAPTER 7: Going by the Numbers: Graphing Numerical Data 107 Part 3: Distributions and the Central Limit Theorem 133 CHAPTER 8: Random Variables and the Binomial Distribution 135 CHAPTER 9: The Normal Distribution 149 CHAPTER 10: The t-Distribution 165 CHAPTER 11: Sampling Distributions and the Central Limit Theorem 171 Part 4: Guesstimating and Hypothesizing with Confidence 187 CHAPTER 12: Leaving Room for a Margin of Error 189 CHAPTER 13: Confidence Intervals: Making Your Best Guesstimate 201 CHAPTER 14: Claims, Tests, and Conclusions 223 CHAPTER 15: Commonly Used Hypothesis Tests: Formulas and Examples 237 Part 5: Statistical Studies and the Hunt for a Meaningful Relationship 255 CHAPTER 16: Polls, Polls, and More Polls 257 CHAPTER 17: Experiments: Medical Breakthroughs or Misleading Results? 275 CHAPTER 18: Looking for Links: Correlation and Regression 293 CHAPTER 19: Two-Way Tables and Independence 311 Part 6: The Part of Tens 333 CHAPTER 20: Ten Tips for the Statistically Savvy Sleuth 335 CHAPTER 21: Ten Surefire Exam Score Boosters 349 Appendix: Tables for Reference 365 Index 375