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SAGE Publications
Statistics for People Who (Think They) Hate Statistics / Edition 5

Statistics for People Who (Think They) Hate Statistics / Edition 5

by Neil J. Salkind
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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, expanded data sets for Excel and SPSS, and a new Real World Stats feature which provides an applied example of the content covered in the chapter.

New to the Fifth Edition

  • A new chapter 10 on the one sample z test, offering a further introduction to inferential statistics
  • More practice exercises at the end of each chapter, varying in their level of application, which use both the SPSS Version 19 and Excel 2010 data sets (available on the student study site)
  • A revised appendix that covers SPSS version 19.
  • A new appendix E with a refresher on basic arithmetic operations and accompanying exercises
  • Rich pedagogical features include sidebars offering additional technical information about the topics presented and points that reinforce major themes in the book

Product Details

ISBN-13: 9781452277714
Publisher: SAGE Publications
Publication date: 11/13/2013
Edition description: Fifth Edition
Pages: 512
Sales rank: 669,311
Product dimensions: 7.00(w) x 9.90(h) x 0.90(d)

About the Author

Neil J. Salkind received his Ph D 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 for the recipe), and poke around old Volvos and old houses.

Bruce B. Frey, Ph.D., is an award-winning researcher, teacher, and professor of educational psychology at the University of Kansas. He is the author of There’s a Stat for That!, Modern Classroom Assessment, and 100 Questions (and Answers) about Tests and Measurement for SAGE and associate editor of SAGE’s Encyclopedia of Research Design. He also wrote Statistics Hacks for O’Reilly Media. His primary research interests include classroom assessment, instrument development, and program evaluation. In his spare time, Bruce leads a secret life as Professor Bubblegum, host of Echo Valley, a podcast that celebrates bubblegum pop music of the late 1960s. The show is wildly popular with the young people.

Table of Contents

1. Statistics or Sadistics? It's Up to You
2. Means to an End: Computing and Understanding Averages
3. Vive la Difference: Understanding Variability
4. A Picture Really Is Worth a Thousand Words
5. Ice Cream and Crime: Correlation Coefficients
6. Just the Truth: An Introduction to Understanding Reliability and Validity
7. Hypotheticals and You: Testing Your Questions
8. Are Your Curves Normal? Probability and Why It Counts
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
15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
16. Prediciting Who'll Win the Super Bowl: Using Linear Regression
17. What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests
18. Some Other (Important) Statistical Problems You Should Know About
19. A Statistical Software Sampler
20. The Ten (or More) Best Internet Sites for Statistics Stuff
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
Appendix E. Math: Just the Basics

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