Stats: Data and Models, First Canadian Edition with MyStatLab

Richard D. De Veaux is an internationally known educator and lecturer. 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.” Since 1994, he has been Professor of Statistics at Williams College. During 2006—2007 he returned to Princeton as the William R. Kenan Visiting Professor for Distinguished Teaching. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is a fellow of the American Statistical Association. Dick is also well known in industry, where over 20 years he has consulted for such companies as Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and American Express. Because of some conversations he had with Mickey Hart while Hart was doing research for his book, Planet Drum, Dick has often been called the “Official Statistician for the Grateful Dead.” Dick holds degrees from Princeton University in Civil Engineering (B.S.E.) and Mathematics (A.B.) and from Stanford University in Dance Education (M.A.) and Statistics (Ph.D.) where he studied with Persi Diaconis. His research focuses on the analysis of large data sets and data mining in science and industry.

Paul F. Velleman has an international reputation for innovative Statistics education. He is the author and designer of the multimedia statistics CD-ROM 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) (http://dasl.datadesk.com), which provides data sets for teaching Statistics. Paul coauthored (with David Hoaglin) ABCs of Exploratory Data Analysis. Paul has taught Statistics at Cornell University since 1975. He holds an A.B. from Dartmouth College in Mathematics and Social Science, and M.S. and Ph.D. degrees in Statistics from Princeton University, where he studied with John Tukey. His research often deals with statistical graphics and data analysis methods. Paul is a Fellow of the American Statistical Association and of the American Association for the Advancement of Science.

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 for the AP Statistics exam, serves as a Statistics consultant to the College Board, and leads workshops and institutes for AP Statistics teachers. He is currently K—12 Education and Outreach Coordinator and a senior lecturer for the Mathematics Department at Cornell University.

Augustin Vukov enjoys his daily walk to work at the University of Toronto, where he has studied and worked for nearly 40 years.  At the University of Toronto, he is in charge of the large introductory service course STA220: The Practice of Statistics, serving the needs of some 800 students from many varied disciplines, as well as managing teaching assistant assignments for the Statistics department.  Having taught STA220 for the last few decades, he was not surprised to hear his new family doctor, his new ophthalmologist and a prospective new dentist say “I used to sit in your Statistics lecture”.   When not equipping future doctors and dentists with important tools of their trades, he enjoys travel and music, preferably Brazilian, and summer softball, though he no longer gets to chase fly balls and smack home runs for the department, since the team has folded up shop.  Oh well, more time to write books!

Augustine Wong is a professor of statistics at York University.  He completed his Ph.D. at the University of Toronto in 1990 and taught at University of Waterloo and University of Alberta before coming to York 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 60 research articles and 2 book chapters.  At York, he teaches various statistics courses in both undergraduate and graduate levels. 

“One of De Veaux et al.’s strengths is not just their ability to provide interesting examples, but examples are supplemented with non-technical commentary.”

-- Jim Stallard, University of Calgary

“The ‘bootstrapping’ section is a wonderful addition which I have been planning to introduce to my students for the last few years.”

-- Taras Gula, George Brown College

“[I] find this text book has excellent examples from a broad spectrum of fields. Things that have relevance in day to day life (ex. traffic lights chapter 14) make it more meaningful to the students.”

-- Gillian Leek, Mohawk College