"If we statistician/teachers can follow this example of teaching modeling in a first stat course, in such an accessible, thoughtful, statistically sophisticated way, the consequences for the future of our profession could be profound."
--- Prof. George Cobb, Mount Holyoke College

"Brings a refreshing approach to data and statistics, laying a foundation for statistical modeling. The goal of modeling is immediately apparent: reliable answers and useful predictions. I am thankful that this textbook is available to my students.
--- Prof. Roy Henk, Kyoto University

"An outstandingly good introduction to statistics."
--- Dr. Geoff Smith, MBE, University of Bath

"We've been hearing a lot recently about the need to incorporate much more realistic and complicated statistical models into our introductory statistics courses. This book does that and more, with appropriate computing support in R and lots of interesting and sophisticated models."
--- Prof. Nicholas Horton, Smith College

I have taught introductory statistics and mathematical statistics many times. The standard syllabi are heavy on calculation and technique, just like those for calculus and for differential equations. Students can “succeed” in any of those courses without becoming able to apply their learning to a real-world situation. What tends to be missing in such courses is the learning of modeling, the step from a real-world problem to a mathematical formulation. It is a hard step, because it requires—besides a mathematical toolbox—some understanding of the context of the particular problem, plus the interest and curiosity to try to solve it. This book teaches the modeling step in statistics—in marvelous fashion!—without assuming any previous knowledge of statistics. The last section of each chapter is devoted to “computational technique,” but there are no traditional statistical formulas. Computations are accomplished in a carefully chosen subset of R, through the front end RStudio (both are free for all platforms, hence have the advantage of being accessible to students throughout their lives). --- Review from Mathematics Magazine 85(2012):302