Full Description
This Study Guide for introductory statistics courses in health and nursing departments is designed to accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics, Sixth Edition. It provides extra exercises, activities, true/false, multiple choice, and essay questions (as well as answers to all questions), plus accompanying datasets on the textbook's website, all created to provide health-specific content to accompany Salkind's bestselling text.
Contents
1. Statistics or Sadistics? It's Up to You2. Means to an End: Computing and Understanding Averages3. Vive la Difference: Understanding Variability4. A Picture Really Is Worth a Thousand Words5. Ice Cream and Crime: Computing Correlation Coefficients6. Just the Truth: An Introduction to Understanding Reliability and Validity7. Hypotheticals and You: Testing Your Questions8. Are Your Curves Normal? Probability and Why It Counts9. Significantly Significant: What It Means for You and Me 10. Only the Lonely: The One-Sample z-Test11. t(EA) for Two: Tests Between the Means of Different Groups12. t(EA) for Two (Again): Tests Between the Means of Related Groups13. Two Groups Too Many? Try Analysis of Variance14. Two Too Many Factors: Factorial Analysis of Variance: A Brief Introduction15. Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient16. Predicting Who'll Win the Super Bowl: Using Linear Regression17. What to Do When You're Not Normal: Chi-Square and Some Other Nonparametric Tests18. Some Other (Important) Statistical Procedures You Should Know About19. (Mini) Data Mining: An Introduction to Getting the Most Out of Your BIG Data
