Statistics For People Who (think They) Hate Statistics - Text Only - 2nd edition

Salkind, Neil J. : University of Kansas

"I liked its humorous approach, which indeed helps to reduce statistical anxiety. The design of the book is inviting and relaxing, which is a plus. The writing style is great and the presentation is appropriate for my students. A fun and well-written book, it is easy to read and use, and presents statistics in a user-friendly way. . . . I would recommend it for sure."

--Dr. Minjuan Wang, Assistant Professor of Educational Technology, San Diego State University

"Salkind's book is in a class by itself. It is easily the best book of its kind that I have come across. I enthusiastically recommend it for any one interested in the subject, and even (and especially) for those who aren't!"

--Professor Russ Shafer-Landau, University of Wisconsin

"Statistics for People Who (Think They) Hate Statistics really makes students learn and enjoy statistics and research in general. Students especially like the Ten Commandments and Internet sites."

--Professor Valerie Janesick, School of Education, Roosevelt University

"Statistics for People Who (Think They) Hate Statistics is definitely the right book for people who have to overcome that familiar anxious feeling when opening a standard statistics book and who having finally managed to do so are still not able to make much sense of it all. The book by Salkind is easy and pleasant to read and one that hardly needs any pre-knowledge of the field to be able to follow the author's train of thoughts. Salkind has managed to bring statistics home to people who hate statistics, or thought they did."

--From a review appearing in Statistical Methods in Medical Research (Arnold Publications) Dr. Andrea Winkler, Maudsley and Bethlem Hospital, London, U.K.

Sage Publishing Web Site, December, 2003

Part I: Yippee! I'm in Statistics

Chapter 1: Statistics or Sadistics? It's Up to You

Part II: Sigma Freud and Descriptive Statistics

Chapter 2: Means to an End: Computing and Understanding Averages
Chapter 3: Vive la Difference: Understanding Variability
Chapter 4: A Picture Really is Worth a Thousand Words
Chapter 5: Ice Cream and Crime: Computing Correlation Coefficients

Part III: Taking Chances for Fun and Profit

Chapter 6: Hypotheticals and You: Testing Your Questions
Chapter 7: Are Your Curves Normal? Probability and Why It Counts

Part IV: Significantly Different: Using Inferential Statistics

Chapter 8: Significantly Significant: What it Means for You and Me
Chapter 9: t(ea) for Two: Tests Between the Means of Different Groups
Chapter 10: t(ea) for Two (Again): Tests Between the Means of Related Groups
Chapter 11: Two Groups Too Many? Try Analysis of Variance
Chapter 12: Two Too Many Factors: Factorial Analysis of Variance
Chapter 13: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
Chapter 14: Predicting Who'll Win the Super Bowl: Using Linear Regression
Chapter 15: What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests
Chapter 16: Just the Truth: An Introduction Understanding Reliability and Validity
Chapter 17: Some Other (Important) Statistical Procedures You Should Know About
Chapter 18: A Statistical Software Sampler

Part V: Ten Things You'll Want to Know and Remember

Chapter 19: The Ten Best Internet Sites for Statistics Stuff
Chapter 20: The Ten Commandments of Data Collection
Appendix A: SPSS in Less Than 30 Minutes
Appendix B: Tables
Appendix C: About the Data Sets
Glossary
Index
About the Author

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