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Study Guide for Psychology to Accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics
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Study Guide for Psychology to Accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics

Sixth Edition


November 2017 | 208 pages | SAGE Publications, Inc

This Study Guide for introductory statistics courses in psychology departments is designed to accompany Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics, Sixth 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 (at edge.sagepub.com/salkind6e) to run the analyses, plus Writing Up Your Results – Guidelines based on APA style.

 
1. Statistics or Sadistics? It’s Up to You
 
2. Means to an End: Computing and Understanding Averages
 
3. Vive la Différence: Understanding Variability
 
4. A Picture Really Is Worth a Thousand Words
 
5. Ice Cream and Crime: Computing Correlation Coefficients
 
6. Just the Truth: An Introduction to Understanding Reliability and Validity
 
7. Hypotheticals and You: Testing Your Questions
 
8. Are Your Curves Normal? Probability and Why It Counts
 
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. What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests
 
18. Some Other (Important) Statistical Procedures You Should Know About
 
19. (Mini) 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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ISBN: 9781506395739
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