Table of Contents

List of Figures and Tables
Preface

Part One: Getting Started
1. Thinking about Numbers
2. Variables

Part Two: Describing Distributions
3. Describing Variable Distributions—First Steps
4. Measures of Central Tendency
5. Variability and Z-scores

Part Three: Statistical Inference
6. Thinking about Statistical Inference
7. Doing Statistical Inference

Part Four: Relations Among Variables
8. Regression and Correlation
9. Comparing Means
10. Categorical Variables
11. Multiple Regression and Logistic Regression
12. Reading Research

Math Refresher
Charts for Distributions
Bibliography
Index

About the Author

Roberta Garner is a professor in the Department of Sociology at DePaul University.

Michael Ash is a professor in the Department of Economics and School of Public Policy at the University of Massachusetts Amherst.

Reviews

"Using many real-life examples, The Joy of Stats offers a simple, easy read for beginners in an introduction to social or applied statistics course. This new edition does a very good job using visualizations to explain and illustrate key concepts and is particularly suitable for undergraduate students.--Cary Wu, York University
"The Joy of Stats makes statistical content less mathematical and more practical. The third edition is updated with new illustrations of the concepts, more straightforward explanations of statistical terms in plain language, and new examples and exercises. It acts as a primer, offering a list of things you absolutely must know to be successful in stats."--Natalka Patsiurko, Concordia University