Statistics for People Who (Think They) Hate Statistics / Edition 4

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The bestselling Statistics for People Who (Think They) Hate Statistics is now in its Third Edition! This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. Author Neil J. Salkind takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and includes reviews of more advanced techniques, such as reliability, validity, introductory non-parametric statistics, and more. Pedagogical features include sidebars offering additional technical information about the topics presented and points that reinforce major themes in the book. Finally, this new edition includes more examples than ever before, an expanded set of exercises at the end of each chapter, and a more comprehensive glossary.

Key Features of the Third Edition
-Provides a companion Web site that helps students and professors make the most of the text
-Offers a dynamic and much expanded suite of Instructor’s Resources
-Gives updated examples from a variety of disciplines, and more of them than ever before
-Contains more Time to Practice exercises, with answers in the back of the book
-Presents additional coverage of general research methods basics
-Includes expanded coverage of power

"...offers a slow-paced, entertaining introduction to the topic...begins with a discussion of the 'language' of statistics, then goes on to cover both descriptive and inferential statistics."

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Editorial Reviews

Doctor - Roberto Torres
"Excellent user-friendly resource. Only gets better edition after edition. "
Bruce Bailey
“I am taking statistics at the graduate level for a Masters program, late in life I might add, and I hate statistics to the depth, breadth, and volume of all the oceans of all the earth combined. This text has helped me more than any other. Even more, I love brownies. And the recipe is fabulous. Thanks.”
Dr. Roberto Torres
"Excellent user-friendly resource. Only gets better edition after edition."
Dr. Roberto Torres
"Excellent user-friendly resource. Only gets better edition after edition. "
Dr. Neil Penny
"Another great teaching tool from an author who understands how to teach statistics."
Christopher J. Maglio
“The author has a wonderful way of taking complex material and presenting it to an already anxiety-filled audience in a manner that not only sets students’ nerves at ease but facilitates their learning to apply the material in useful ways. This text should be required reading in all beginning-level stats classes if for no other reason than to build confidence in the students.”
Adriana Buliga-Stoian
“There is no extraneous information in the text. It's what students need to know, presented in a way that does not intimidate.”
Dr. David F. Nicholson
“The word statistics is often seen as a nasty word to social scientists but Salkind deals with that and makes it somewhat enjoyable for the students and an absolute joy for the instructors.”
Soomi Lee
“It is easy to follow and great for learning . . . My students absolutely love the book.”
Daniel R. Block
“I truly think this is the best statistics book I have encountered."
Lewis H. Margolis

"This book speaks to students!"

Ralph Underwager
"As awell written, well organized, and understandable introduction to statistical reasoning, use and what meaning they may have, the reader will gain a much better grasp of statistics and have better ability to consume social science research."
Jose R. Rivera
"Salkind's book has been (still is) an extraordinary part of the process of Statistical learning in my courses since 2004. "
Doctor - Neil Penny
"Another great teaching tool from an author who understands how to teach statistics. "
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Product Details

  • ISBN-13: 9781412979597
  • Publisher: SAGE Publications
  • Publication date: 10/13/2010
  • Edition description: Fourth Edition
  • Edition number: 4
  • Pages: 442
  • Product dimensions: 7.00 (w) x 9.90 (h) x 1.10 (d)

Meet the Author

Neil J. Salkind received his Ph D from the University of Maryland in Human Development. After teaching for 35 years at the University of Kansas, he remains a professor emeritus in the department of psychology and research in education, where he continues to collaborate with colleagues and work with students. His early interests were in the area of children’s cognitive development, and after research in the areas of cognitive style and (what was then known as) hyperactivity, he was a postdoctoral fellow at the University of North Carolina’s Bush Center for Child and Family Policy. His work then changed direction to focus on child and family policy, specifically the impact of alternative forms of public support on various child and family outcomes. He has delivered more than 150 professional papers and presentations, written more than 100 trade and textbooks, and is the author of Statistics for People Who (Think They) Hate Statistics (SAGE), Theories of Human Development (SAGE), and Exploring Research (Prentice Hall). He has edited several encyclopedias, including the Encyclopedia of Human Development, the Encyclopedia of Measurement and Statistics, and the recently published Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years and lives in Lawrence, Kansas, where he likes to read, swim with the River City Sharks, letterpress print using 1820s technology, bake brownies (see the Excel version of Statistics for People Who (Think They) Hate Statistics for the recipe at, and poke around old Volvos and old houses.

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Table of Contents

1 Statistics or Sadistics? It's Up to You 5
2 Means to an End: Computing and Understanding Averages 21
3 Vive la Difference: Understanding Variability 38
4 A Picture Really Is Worth a Thousand Words 53
5 Ice Cream and Crime: Computing Correlation Coefficients 85
6 Predicting Who'll Win the Super Bowl: Using Linear Regression 109
7 Hypotheticals and You: Testing Your Questions 131
8 Are Your Curves Normal? Probability and Why It Counts 147
9 Significantly Significant: What It Means for You and Me 171
10 t(ea) for Two: Tests Between the Means of Different Groups 191
11 t(ea) for Two (Again): Tests Between the Means of Related Groups 206
12 Two Groups Too Many? Try Analysis of Variance 220
13 Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient 240
14 What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests 255
15 Some Other (Important) Statistical Procedures You Should Know About 268
16 A Statistical Software Sampler 275
17 The Ten Best Internet Sites for Statistics Stuff 289
18 The Ten Commandments of Data Collection 295
App. A SPSS in Less Than 30 Minutes 299
App. B: Tables 331
App. C: Data Sets 345
Glossary 365
Index 373
About the Author 385
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