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.

"The key strength of this book is the straight forward approach. I love the to-the-point question-and-answer format . . . This book would be useful in both statistics and research methods courses . . . [and] in math tutoring labs. I love the tone the author uses, as it is not condescending. Students will be encouraged."

• Part 1: Why Statistics?Part 2: Understanding Measures of Central TendencyPart 3: Understanding Measures of VariabilityPart 4: Illustrating DataPart 5: Understanding RelationshipsPart 6: Understanding Measurement and Its ImportancePart 7: Understanding the Role of Hypothesis in StatisticsPart 8: Understanding the Normal Curve and ProbabilityPart 9: Understanding the Concept of SignificancePart 10: Understanding Differences between GroupsPart 11: Looking at Relationships between VariablesPart 12: Other Statistical Procedures