Beschreibung:
The Sixth Edition of Neil J. Salkind's best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.
The Sixth Edition of Neil J. Salkind’s best-selling
Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.
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. 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
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 Different: 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—A Brief Introduction
15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
16. Predicting Who’ll Win the Super Bowl: Using Linear Regression
17. Big Data (Tentative Title)
18. What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests
19. Some Other (Important) Statistical Procedures You Should Know About
20. A Statistical Software Sampler
Part V: Ten Things You’ll Want to Know and Remember
21. The 10 (or More) Best Internet Sites for Statistics Stuff
22. The 10 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