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

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"Your book has changed my perception and attitude towards statistics. It is very well written, the language is completely user friendly and the progression of new concepts within each chapter is fantastic. Although my class is only on chapter 5 at this point, I have found my interest in the concepts and order in which you introduce them becoming greater. I thank you with very much appreciation as I was someone who dreaded taking statistics and thought I hated it!" - Jessica Maes, graduate student

The Fourth Edition of Neil J. Salkind’s bestselling text introduces students to the fundamentals of basic statistics in an informative, personable, and unintimidating way. The author expertly guides students through various statistical procedures, beginning with basic descriptive statistics and correlation and graphical representation of data and ending with inferential techniques including analysis of variance.

"...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
  • Sales rank: 84,529
  • 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

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 Différence: Understanding Variability
Chapter 4. A Picture Really Is Worth a Thousand Words
Chapter 5. Ice Cream and Crime: Computing Correlation Coefficients
Chapter 6. Just the Truth: An Introduction to Understanding Reliability and Validity
Part III. Taking Chances for Fun and Profit
Chapter 7. Hypotheticals and You: Testing Your Questions
Chapter 8. Are Your Curves Normal? Probability and Why It Counts
Part IV. Significantly Different: Using Inferential Statistics
Chapter 9. Significantly Significant: What It Means for You and Me
Chapter 10. Only The Lonely: The One Sample Z test
Chapter 11. t(ea) for Two: Tests Between the Means of Different Groups
Chapter 12. t(ea) for Two (Again): Tests Between the Means of Related Groups
Chapter 13. Two Groups Too Many? Try Analysis of Variance
Chapter 14. Two Too Many Factors: Factorial Analysis of Variance
Chapter 15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
Chapter 16. Predicting Who’ll Win the Super Bowl: Using Linear Regression
Chapter 17. What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests
Chapter 18. Some Other (Important) Statistical Procedures You Should Know About
Chapter 19. A Statistical Software Sampler
Part V. Ten Things You’ll Want to Know and Remember
Chapter 20. The Ten (or More) Best Internet Sites for Statistics Stuff
Chapter 21. The Ten Commandments of Data Collection
Appendix A: SPSS in Less Than 30 Minutes
Appendix B: Tables
Appendix C: Data Sets
Appendix D: Answers to Practice Questions

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