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The Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences, Second Edition

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As a stand-alone text, a self-study manual, or a supplement to a lab manual or comprehensive text, "The Joy of Stats" is a unique and versatile resource. A "Math Refresher" section and self-assessment test offer a concise review of the needed math background. A "How-To?" section provides short, handy summaries of data analysis techniques and explains when to apply them. Each chapter offers key terms, numerous examples--including real-world data--practice exercises and answers, and verbal algorithms as well as formulas. The result is an unrivalled guide for students of social science as well as for practitioners and policy-makers.

The second edition has been revised throughout and includes many new examples. A new companion website, garnerjoyofstats.com, features a data set covering close to 120 countries and 10 variables, student exercises, and a full suite of instructor support materials, including power points for lectures, lab guides, and a test bank.

For more information visit www.garnerjoyofstats.com.

352 pages, Paperback

First published April 1, 2005

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322 reviews16 followers
January 18, 2021
I know a stats textbook is a slightly odd thing to be reviewing on GoodReads, but it helps me keep track of what books I have, so ¯\_(ツ)_/¯.

"The Joy of Stats" is a unique, if middle-of-the-line, stats textbook. It's unique in that it adopts a relatively conversational tone in an attempt to make the book more engaging. This works well in the first half (core concepts in statistics), but is much less effective in the second (statistical tests).

It's also unique in its organization. The textbook portion itself is only about two thirds of the volume. The final third includes quite substantive sections with exercises, a "math refresher," and an extensive "how to" section on each statistical test introduced. This "how to" section is quite useful, although a little haphazard in organization (e.g., there's a table near the beginning explaining when to use each test, but it doesn't actually include all the tests described).

The downside of this creative organization is that the volume loses readers midway through. From a very accessible introduction, things accelerate rapidly when the actual statistical tests hit. References are made to properties of tests that haven't been introduced yet. And, much of the introduction resides in a later portion of the book rather than the core content. This makes it difficult to read and, in my view, reduces the utility to the learner.

That said, there is a lot to be said for textbooks that attempt to make their subject readable and engaging. I wish that the skill at doing this in the first half carried forward more into both the second half and the organization of the book as a whole.
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