The fifth edition of An Introduction to Statistical Concepts is designed to help students truly understand statistical concepts, the situations in which they can be used, and how to apply them to data. Written without assuming any prior knowledge of statistics, it is designed for students to become capable researchers and intelligent consumers and producers of statistics.
Hahs-Vaughn and Lomax discuss both the most popular and lesser-known procedures and models while also exploring nonparametric procedures used when standard assumptions are violated. They provide in-depth coverage of testing assumptions and highlight several online tools for computing statistics, such as effect sizes and their confidence intervals and power.
This new edition also includes:

• Fully updated content, additional references, and end-of-chapter problems to enhance student learning;
• Discussions of bootstrapping, open science, microdata, data visualization, and more;
• Expanded coverage of simple effects, normality tests, effect sizes, and applications of SPSS and R; and
• Supplemental digital resources, including self-testing elements for students and a test bank and PowerPoint slides for instructors.

With crystal-clear explanations and inclusion of only the most crucial equations, this book is an invaluable resource for students taking statistic courses in any number of social science and behavioral disciplines—from education, business, communication, exercise science, psychology, sociology and more.