Cart
Free US shipping over $10
Proud to be B-Corp

Statistics for People Who (Think They) Hate Statistics Neil J. Salkind

Statistics for People Who (Think They) Hate Statistics By Neil J. Salkind

Statistics for People Who (Think They) Hate Statistics by Neil J. Salkind


$10.00
Condition - Very Good
7 in stock

Summary

This bestseller continues to help instructors teach an often intimidating and difficult subject in a way that is informative, personable and clear.

Statistics for People Who (Think They) Hate Statistics Summary

Statistics for People Who (Think They) Hate Statistics by Neil J. Salkind

Praise from students for Neil Salkind's Statistics for People Who (Think They) Hate Statistics:

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.

This page refers to the edition that is bundled with the student version of SPSS printed. Click here for details about the print version only.

Statistics for People Who (Think They) Hate Statistics Reviews

Excellent user-friendly resource. Only gets better edition after edition. -- Dr. Roberto Torres
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. -- Bruce Bailey

About Neil J. Salkind

Neil J. Salkind received his PhD in human development from the University of Maryland, and after teaching for 35 years at the University of Kansas, he was Professor Emeritus in the Department of Psychology and Research in Education, where he collaborated 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 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 Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years. He lived in Lawrence, Kansas, where he liked to read, swim with the River City Sharks, work as the proprietor and sole employee of big boy press, bake brownies (see www.statisticsforpeople.com for the recipe), and poke around old Volvos and old houses.

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 Difference: 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

Additional information

GOR004821204
9781412979597
1412979595
Statistics for People Who (Think They) Hate Statistics by Neil J. Salkind
Used - Very Good
Paperback
SAGE Publications Inc
20101116
472
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Statistics for People Who (Think They) Hate Statistics