Statistics for People Who (Think They) Hate Statistics Interactive eBook Student Version / Edition 5

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Overview

The bestselling Statistics for People Who (Think They) Hate Statistics is now in its Fifth Edition and now also available in an interactive e Book edition!

Continuing its hallmark use of humour, this text helps students develop an understanding of an often intimidating and difficult subject with an approach that is informative, personable, and clear. Author Neil J. Salkind takes students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. In addition, the book covers SPSS and includes reviews of more advanced techniques, such as reliability, validity, and introductory non-parametric statistics. The new Fifth Edition offers more examples than ever before, and a new Real World Stats feature at the end of each chapter.

Interactive e Book Edition available!

The slimpack provides 180 day access to the interactive e Book edition which features embedded links to video and websites, a rollover glossary, rich search functionality and more.

Click here to see a video walk-through of the rich Interactive e Book features.

Click here to view a sample chapter from the Interactive e Book.

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Product Details

  • ISBN-13: 9781483303338
  • Publisher: SAGE Publications
  • Publication date: 12/28/2013
  • Edition description: Fifth Edition
  • Edition number: 5
  • Pages: 1
  • Sales rank: 931,559
  • Product dimensions: 0.60 (w) x 9.50 (h) x 0.30 (d)

Meet the Author

Neil J. Salkind received his PhD 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 http://www.statisticsforpeople.com), and poke around old Volvos and old houses.

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Table of Contents

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 Difference: Understanding Variability
4. Measurement
5. Ice Cream and Crime: 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 DIFFERENCE: 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
15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
16. Predicting 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
PART V. TEN THINGS YOU'LL WANT TO KNOW AND REMEMBER
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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