Isi-stats.com Website Review

statistics text developed by Nathan Tintle (Dordt College), Beth Chance (Cal Poly), George Cobb (Mt Holyoke), Allan Rossman (Cal Poly), Soma Roy (Cal Poly), Todd Swanson (Hope College) and Jill VanderStoep (Hope College).  The first edition is available from John Wiley & The text differs from traditional texts in both content and pedagogy.  Statistical inference is introduced using simulation-based methods in Chapter 1.  This allows students to intuitively understand the process of inference from the very beginning of their course. Concepts of statistical inference are then explored for the entire text instead of only the last half as do many traditional texts. Students are actively engaged in the material through numerous activities in which they flip coins, draw cards, collect data, do computer simulations and run experiments.  Computer simulations are done with freely available applets.  (See Efficacy Flyer Karen McGaughey (Cal Poly), Soma Roy (Cal Poly), Todd Swanson (Hope College) and Jill VanderStoep (Hope College) for a second course in The text differs from traditional texts in both content and pedagogy.  From the Preliminaries chapter, students focus on multivariate thinking to explain variation in the response variable.  Students are actively engaged in the material with easy-to-use applets for initial This material is based upon work supported from the National Science Foundation under (Grant DUE-1140629) in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.