Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel

by Neil J. Salkind, Bruce B. Frey

Overview

This Sixth Edition of Salkind and Frey′s Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. This edition notably offers Excel 2025 for use in statistical analysis, including updated graphics and coverage of how to use functions and formulas.  With improved navigation and a new 4-color format, the book is now offered in the Sage Vantage learning platform with critical thinking tools, practice opportunities, and assessment.  A new section on using AI chatbots for statistics will engage readers. Tried and true features such as the "Path to Wisdom and Knowledge" flowcharts help students learn to select the appropriate statistical test in each of the core chapters. With Excel incorporated throughout, the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more

Product Details

ISBN-13:	9781071950593
Publisher:	SAGE Publications
Publication date:	01/06/2026
Sold by:	Barnes & Noble
Format:	eBook
Pages:	496

About the Author

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.

Table of Contents

PART I: YIPPEE! I’M IN STATISTICS!
Chapter 1: Statistics or Sadistics? It’s Up to You
Chapter 2: Getting Started in Excel
PART II: SIGMA FREUD AND DESCRIPTIVE STATISTICS
Chapter 3: Computing and Understanding Averages: Means to an End
Chapter 4: Understanding Variability: Vive la Différence
Chapter 5: Creating Graphs: A Picture Really Is Worth a Thousand Words
Chapter 6: Computing Correlation Coefficients: Ice Cream and Crime
Chapter 7: Understanding Reliability and Validity: Just the Truth
PART III: TAKING CHANCES FOR FUN AND PROFIT
Chapter 8: Hypotheticals and You: Testing Your Questions
Chapter 9: Probability and Why It Counts: Fun With a Bell-Shaped Curve
PART IV: SIGNIFICANTLY DIFFERENT: USING INFERENTIAL STATISTICS
Chapter 10: Significantly Significant: What It Means for You and Me
Chapter 11: The One-Sample Z-Test: Only the Lonely
Chapter 12: t(ea) for Two: Tests Between the Means of Different Groups
Chapter 13: t(ea) for Two (Again): Tests Between the Means of Related Groups
Chapter 14: Analysis of Variance: Two Groups Too Many?
Chapter 15: Factorial Analysis of Variance: Two Too Many Factors
Chapter 16: Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends?
Chapter 17: Using Linear Regression: Predicting the Future
PART V: MORE STATISTICS! MORE TOOLS! MORE FUN!
Chapter 18: Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal
Chapter 19: Some Other (Important) Statistical Procedures You Should Know About
Chapter 20: Data Mining: A Introduction to Getting the Most Out of Your BIG Data