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Statistics for People Who (Think They) Hate Statistics
Using Microsoft Excel
Sixth Edition
- Neil J. Salkind
- Bruce B. Frey - University of Kansas, USA
February 2026 | 496 pages | SAGE Publications, Inc
This Sixth Edition of Salkind and Frey's Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. This edition notably offers Excel 2025 for use in statistical analysis, including updated graphics and coverage of how to use functions and formulas. With improved navigation and a new 4-color format, the book is now offered in the Sage Vantage learning platform with critical thinking tools, practice opportunities, and assessment. A new section on using AI chatbots for statistics will engage readers. Tried and true features such as the "Path to Wisdom and Knowledge" flowcharts help students learn to select the appropriate statistical test in each of the core chapters. With Excel incorporated throughout, the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more
Preface
Acknowledgments
About the Authors
Part I: Yippee! I’m in Statistics
Chapter 1: Statistics or Sadistics? It’s Up to You
Chapter 2: What Do Your Data Look Like? Summarizing and Picturing Distributions
Chapter 3: Computing Correlation Coefficients: Ice Cream and Crime
Chapter 4: Reliability and Validity: Tell the Truth, Precisely the Truth
Part II: Taking Chances for Fun and Profit
Chapter 5: The Normal Curve: It’s Shaped Like a Bell and It’s Everywhere!
Chapter 6: Hypotheticals and You: Making Guesses
Chapter 7: Significance: Not Everything That Can Be Counted Counts
Part III: Significantly Different: Using Inferential Statistics
Chapter 8: Single Samples: One Group All Alone
Chapter 9: t(ea) for Two: Comparing Two Means
Chapter 10: More Than Two Groups? Analysis of Variance to the Rescue
Chapter 11: Two (or More) ANOVAs in One: Factorial Analysis of Variance
Chapter 12: Correlation Coefficients and Regression: Can You Relate?
Part IV: More Statistics! More Tools! More Fun!
Chapter 13: Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal
Chapter 14: Some Other (Important) Statistical Stuff You Should Know About
Appendices: Information Never Ends!
Appendix A: Excel-erate Your Learning
Appendix B: Tables
Appendix C: Data Sets
Appendix D: Answers to Practice Questions
Appendix E: Math: Just the Basics
Appendix F: The 10 Commandments of Data Collection
Appendix G: The Reward: The Brownie Recipe