Stats: Data and Models, Canadian Edition, 4th edition

Inspired by the 2016 GAISE Report revision, Stats: Data and Models by De Veaux uses innovative strategies to help students think critically about data, while maintaining the book's core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century.