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Statistics for People Who (Think They) Hate Statistics

Statistics for People Who (Think They) Hate Statistics

Neil J. Salkind

9781452225234

SAGE Publications Inc


Research methods: general; Social research & statistics; Probability & statistics

Paperback

488 pages

$153.95  $127.80

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The bestselling text Statistics for People Who (Think They) Hate Statistics is the basis for this completely adapted Excel 2010 version. Author Neil J. Salkind presents an often intimidating and difficult subject in a way that is informative, personable, and clear. Researchers and students who find themselves uncomfortable with the analysis portion of their work will appreciate this bookA s unhurried pace and thorough, friendly presentation. Salkind begins the Excel version with a complete introduction to the software, and shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques. He then walks students through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Pedagogical features include sidebars offering additional technical information about the topic and set-off points that reinforce major themes. Finally, questions to chapter exercises, a complete glossary, and extensive Excel functionality are located at the back of the book. This Third Edition is updated for use with Excel 2010.

By:   Neil J. Salkind
Imprint:   SAGE Publications Inc
Country of Publication:   United States
Edition:   3rd, Excel ed.
Dimensions:   Height: 28mm,  Width: 254mm,  Spine: 178mm
Weight:   839g
ISBN:  

9781452225234


ISBN 10:   1452225230
Pages:   488
Publication Date:   September 2012
Audience:   College/higher education ,  Primary
Format:   Paperback
Publisher's Status:   Active
Availability:   Available   Availability explained
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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. Computing and Understanding Averages: Means to an End 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: A Brief Introduction 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 (and Most Fun) Internet Sites for Statistics Stuff Chapter 21. The Ten Commandments of Data Collection Appendix A. Excel-erate Your Learning: All You Need to Know About Excel Appendix B. Tables Appendix C. Data Sets Appendix D. Answers to End of Chapter Questions Appendix E. The Reward: The Brownie Recipe

Neil J. Salkind is Professor Emeritus at the University of Kansas, where he taught in the Department of Educational Psychology for more than 35 years. His interest is in writing about statistics and research methods in an informative, nonintimidating and noncondescending way. He is also the author of Statistics for People Who (Think They) Hate Statistics, Statistics for People Who (Think They) Hate Statistics (the Excel Edition), Excel Statistics - a Quick Guide, and the recently edited Encyclopedia of Research Design.

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