Statistics for people who (think they) hate statistics /
Neil J. Salkind.
- Fifth edition.
- xxvii, 483 pages ; 26 cm
Includes bibliographical references and index.
Yippee! I'm In Statistics : -- Statistics or Sadistics? It's Up to You -- Sigma Freud And Descriptive Statistics : -- Means to an End: Computing and Understanding Averages -- Vive la Difference: Understanding Variability -- A Picture Really Is Worth a Thousand Words -- Ice Cream and Crime: Correlation Coefficients -- Just the Truth: An Introduction to Understanding Reliability and Validity -- Taking Chances For Fun And Profit : -- Hypotheticals and You: Testing Your Questions -- Are Your Curves Normal? Probability and Why It Counts -- Significantly Difference: Using Inferential Statistics : -- Significantly Significant: What It Means for You and Me -- Only the Lonely: The One-Sample z Test -- t(ea) for Two: Tests Between the Means of Different Groups -- t(ea) for Two (Again): Tests Between the Means of Related Groups -- Two Groups Too Many? Try Analysis of Variance -- Two Too Many Factors: Factorial Analysis of Variance -- Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient -- Predicting Who'll Win the Super Bowl: Using Linear Regression -- What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests -- Some Other (Important) Statistical Problems You Should Know About -- A Statistical Software Sampler -- Ten Things You'll Want To Know And Remember : -- The Ten (or More) Best Internet Sites for Statistics Stuff -- The Ten Commandments of Data Collection -- SPSS in Less Than 30 Minutes -- Tables -- Data Sets -- Answers to Practice Questions -- Math: Just the Basics. Part I. 1. Part II. 2. 3. 4. 5. 6. Part III. 7. 8. Part IV. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. Part V. 20. 21. $Appendix A. $Appendix B. $Appendix C. $Appendix D. $Appendix E.
"Continuing its hallmark use of humor, 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."--Publisher's website.