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Statistics for People Who (Think They) Hate Statistics (International Student Edition)


By: Neil J Salkind(Author)

552 pages, illustrations

Sage Publications

Paperback | Oct 2016 | Edition: 6 | #239330 | ISBN-13: 9781506361161
Availability: Usually dispatched within 48 hours
NHBS Price: £65.99 $86/€75 approx

About this book

The Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics eases student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets and videos of the author demonstrating the various statistical techniques, available via the accompanying free interactive eBook.


A Note to the Student: Why I Wrote This Book
And Now, About the Sixth Edition
About the Author

PART I- Yippee! I’m in Statistics
1. Statistics or Sadistics? It’s Up to You

PART II- Sigma Freud and Descriptive Statistics
2. Means to an End: Computing and Understanding Averages
3. Vive la Différence: Understanding Variability
4. A Picture Really Is Worth a Thousand Words
5. Ice Cream and Crime: Computing Correlation Coefficients
6. Just the Truth: An Introduction to Understanding Reliability and Validity

PART III- Taking Chances for Fun and Profit
7. Hypotheticals and You: Testing Your Questions
8. Are Your Curves Normal? Probability and Why It Counts

PART IV- Significantly Different: Using Inferential Statistics
9. Significantly Significant: What It Means for You and Me
10. Only the Lonely: The One-Sample Z-Test
11. t(ea) for Two: Tests Between the Means of Different Groups
12. t(ea) for Two (Again): Tests Between the Means of Related Groups
13. Two Groups Too Many? Try Analysis of Variance
14. Two Too Many Factors: Factorial Analysis of Variance—A Brief Introduction
15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
16. Predicting Who’ll Win the Super Bowl: Using Linear Regression

PART V- More Statistics! More Tools! More Fun!
17. What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests
18. Some Other (Important) Statistical Procedures You Should Know About
19. Data Mining: An Introduction to Getting the Most Out of Your BIG Data
20. A Statistical Software Sampler

PART VI- Ten Things (Times Two) You’ll Want to Know and Remember
21. The Ten (or More) Best (and Most Fun) Internet Sites for Statistics Stuff
22. The Ten Commandments of Data Collection

Appendix A- SPSS Statistics in Less Than 30 Minutes
Appendix B- Tables
Appendix C- Data Sets
Appendix D- Answers to Practice Questions
Appendix E- Math: Just the Basics
Appendix F- The Reward: The Brownie Recipe


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Neil J. Salkind received his PhD from the University of Maryland in Human Development, and after teaching for 35 years at the University of Kansas, he remains as 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 and the focus was 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 letterpress print, read, swim with the Lawrence River City Sharks, bake brownies, and poke around old Volvos and old houses.

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