Description
Statistics for People Who (Think They) Hate Statistics, 7th edition
Statistics for People Who (Think They) Hate Statistics is Neil J. Salkind’s introductory textbook, now updated by Bruce B. Frey. It uses a conversational, often humorous tone to help students who hate statistics, or think they do, work through core statistical concepts.
The book covers descriptive and inferential statistics step by step, including t-tests, ANOVA, correlation, and regression, with the emphasis on why and when to use a test rather than on the underlying formulas.
Concepts before formulas
Rather than working through mathematical proofs, the book teaches the practical application of each statistical test, using everyday scenarios to illustrate abstract concepts. A reader comes away knowing which test fits a given question, not how to derive it.
Updated for IBM SPSS Statistics
The 7th edition has fully updated, step by step instructions and screenshots for IBM SPSS Statistics, so students can apply what they learn in the software used in many courses.
Practice built in
End of chapter exercises, a glossary of terms, and Time to Practice sections with data sets let students test their understanding as they go, working with real data rather than abstract examples alone.
Book details
- Title: Statistics for People Who (Think They) Hate Statistics
- Authors: Neil J. Salkind, Bruce B. Frey
- Edition: 7th
- ISBN-13: 9781544381855
Questions buyers ask
Do I need a strong math background to use this book?
No. It is written for students who fear math, with the emphasis on understanding when and why to use a test rather than on formulas.
Which statistical tests does it cover?
t-tests, ANOVA, correlation, and regression, taught step by step alongside descriptive statistics.
Does it use statistical software?
Yes. The 7th edition has updated instructions and screenshots for IBM SPSS Statistics.
Who updated this edition?
Bruce B. Frey updated the text originally written by Neil J. Salkind.
Does it include practice material?
Yes. End of chapter exercises, a glossary, and Time to Practice sections with data sets.
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