图书简介
This Study Guide for introductory statistics courses in psychology departments is designed to accompany Neil J. Salkind and Bruce B. Frey’s best-selling Statistics for People Who (Think They) Hate Statistics, Seventh Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature psychology-specific content to help further student mastery of text concepts. Two additional appendix items in this guide include: Practice with Real Data!, which outlines four experiments and provides students with the datasets to run the analyses, plus Writing Up Your Results – Guidelines based on APA style.
Chapter 1. Statistics or Sadistics? It’s Up to You \\ Chapter 2. Computing and Understanding Averages: Means to an End \\ Chapter 3. Understanding Variability: Vivé la Différence \\ Chapter 4. Creating Graphs: A Picture Really Is Worth a Thousand Words \\ Chapter 5. Computing Correlation Coefficients: Ice Cream and Crime \\ Chapter 6. An Introduction to Understanding Reliability and Validity: Just the Truth \\ Chapter 7. Hypotheticals and You: Testing Your Questions \\ Chapter 8. Probability and Why it Counts: Fun with a Bell-Shaped Curve \\ Chapter 9. Significantly Significant: What It Means for You and Me \\ Chapter 10. The One-Sample z-Test: Only the Lonely \\ 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. Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends? \\ Chapter 16. Using Linear Regression: Predicting the Future \\ Chapter 17. Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal \\ Chapter 18. Some Other (Important) Statistical Procedures You Should Know About \\ Chapter 19. Data Mining: An Introduction to Getting the Most Out of Your BIG Data \\ Appendix A. Practice With Real Data! \\ Appendix B. Writing Up Your Results—Guidelines Based on APA Style
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