Published by Pearson Canada (January 21, 2021) © 2022
Encourages statistical thinking using technology, innovative methods, and a sense of humor.
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.
Richard D. De Veaux is an internationally known educator and consultant. He has taught at the Wharton School and the Princeton University School of Engineering, where he won a “Lifetime Award for Dedication and Excellence in Teaching.” He is the C. Carlisle and M. Tippit Professor of Statistics at Williams College, where he has taught since 1994. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is a fellow of the American Statistical Association (ASA) and an elected member of the International Statistical Institute (ISI). In 2008, he was named Statistician of the Year by the Boston Chapter of the ASA. Dick is also well known in industry, where for more than 30 years he has consulted for such Fortune 500 companies as American Express, Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and Chemical Bank. Because he consulted with Mickey Hart on his book Planet Drum, he has also sometimes been called the “Official Statistician for the Grateful Dead.” His real-world experiences and anecdotes illustrate many of this book's chapters.
Paul F. Velleman has an international reputation for innovative Statistics education. He is the author and designer of the multimedia Statistics program ActivStats, for which he was awarded the EDUCOM Medal for innovative uses of computers in teaching statistics, and the ICTCM Award for Innovation in Using Technology in College Mathematics. He also developed the award-winning statistics program Data Desk, and the Internet site Data and Story Library (DASL) (ASL.datadesk.com), which provides data sets for teaching Statistics. Paul's understanding of using and teaching with technology informs much of this book's approach.
David E. Bock taught mathematics at Ithaca High School for 35 years. He has taught Statistics at Ithaca High School, Tompkins-Cortland Community College, Ithaca College, and Cornell University. Dave has won numerous teaching awards, including the MAA's Edyth May Sliffe Award for Distinguished High School Mathematics Teaching (twice), Cornell University's Outstanding Educator Award (three times), and has been a finalist for New York State Teacher of the Year. Dave holds degrees from the University at Albany in Mathematics (B.A.) and Statistics/Education (M.S.). Dave has been a reader and table leader for the AP Statistics exam, serves as a Statistics consultant to the College Board, and leads workshops and institutes for AP Statistics teachers. He has served as K–12 Education and Outreach Coordinator and a senior lecturer for the Mathematics Department at Cornell University. His understanding of how students learn informs much of this book's approach.
Augustin M. Vukov taught Statistics at the University of Toronto for over 30 years. For much of that time, he was the course coordinator for The Practice of Statistics—a large multi-section course designed to introduce the basic concepts and practice of Statistical Science to students from a great variety of (mostly non-mathematical) disciplines. Having taught so many students their required Stats course, he was not surprised to hear his new family doctor, his new ophthalmologist and a prospective new dentist say “Your name looks familiar. Ah yes, I used to sit in your Statistics lecture!”. A big fan of MinitabTM software for use in introductory Statistics courses, he has also authored several Minitab manuals.
Augustine C.M. Wong is a professor of Statistics at York University. He completed his Ph.D. at the University of Toronto in 1990. He was an NSERC Postdoctoral Fellow at the University of Waterloo and a faculty member at University of Alberta before joining York University in 1993. His research interests include asymptotic inference, computational methods in statistics, and likelihood-based methods. He is an author or co-author of over 100 research articles and 2 book chapters. At York University, he teaches various statistics courses at both the undergraduate and graduate levels.
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