Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP(R) bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics.
Richard De Veaux, Paul Velleman, and David Bock wrote Stats: Data and Modelswith the goal that students and instructors have as much fun reading it as they did writing it.
