2020, by contributing authors Alexander Holmes, University of Oklahoma
Barbara Illowsky, De Anza College
Susan Dean, De Anza College
Designed to meet the requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises.
2003 by David Lane, Rice University.
This is a comprehensive text, suitable for an introductory statistics course for non-math majors. It contains twenty-one chapters, covering the wide range of intro stats topics plus case studies and a glossary.
2012 by Thomas K. Tiemann, Elon University.
Explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions. Covers descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics. Using real-world examples throughout the text to help students understand how statistics works, not just how to "get the right number."
