Study Guide for Health & Nursing to Accompany Salkind & Frey's Statistics for People Who (Think They) Hate Statistics

Neil J. Salkind received his PhD in human development from the University of Maryland, and after teaching for 35 years at the University of Kansas, he was Professor Emeritus in the Department of Psychology and Research in Education, where he collaborated with colleagues and work with students. His early interests were in the area of children’s cognitive development, and after research in the areas of cognitive style and (what was then known as) hyperactivity, he was a postdoctoral fellow at the University of North Carolina’s Bush Center for Child and Family Policy. His work then changed direction to focus on child and family policy, specifically the impact of alternative forms of public support on various child and family outcomes. He delivered more than 150 professional papers and presentations; written more than 100 trade and textbooks; and is the author of Statistics for People Who (Think They) Hate Statistics (SAGE), Theories of Human Development (SAGE), and Exploring Research (Prentice Hall). He has edited several encyclopedias, including the Encyclopedia of Human Development, the Encyclopedia of Measurement and Statistics, and the Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years. He lived in Lawrence, Kansas, where he liked to read, swim with the River City Sharks, work as the proprietor and sole employee of big boy press, bake brownies (see www.statisticsforpeople.com for the recipe), and poke around old Volvos and old houses.Bruce B. Frey, PhD, is an award-winning researcher, author, teacher, and professor of educational psychology at the University of Kansas. He is the editor of The SAGE Encyclopedia of Educational Research, Measurement and Evaluation and the SAGE Encyclopedia of Educational Design. In addition to being the lead author for The Statistics for People Who (Think They) Hate Statistics series, his books for Sage include There’s a Stat for That!, and 100 Questions (and Answers) About Tests and Measurement. He also wrote Statistics Hacks for O’Reilly Media. In his spare time, Bruce leads a secret life as Professor Bubblegum, host of a YouTube channel and Echo Valley, a podcast that celebrates bubblegum pop music of the late 1960s. The show is wildly popular with the young people.

• Chapter 1. Statistics or Sadistics? It’s Up to YouChapter 2. Computing and Understanding Averages: Means to an EndChapter 3. Understanding Variability: Vivé la DifférenceChapter 4. Creating Graphs: A Picture Really Is Worth a Thousand WordsChapter 5. Computing Correlation Coefficients: Ice Cream and CrimeChapter 6. An Introduction to Understanding Reliability and Validity: Just the TruthChapter 7. Hypotheticals and You: Testing Your QuestionsChapter 8. Probability and Why it Counts: Fun with a Bell-Shaped CurveChapter 9. Significantly Significant: What It Means for You and MeChapter 10. The One-Sample z-Test: Only the LonelyChapter 11. t(ea) for Two: Tests Between the Means of Different GroupsChapter 12. t(ea) for Two (Again): Tests Between the Means of Related GroupsChapter 13. Two Groups Too Many? Try Analysis of VarianceChapter 14. Two Too Many Factors: Factorial Analysis of Variance—A Brief IntroductionChapter 15. Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends?Chapter 16. Using Linear Regression: Predicting the FutureChapter 17. Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not NormalChapter 18. Some Other (Important) Statistical Procedures You Should Know AboutChapter 19. Data Mining: An Introduction to Getting the Most Out of Your BIG Data