Introduction, an invitations to statistics --
Describing data with graphs --
Describing data with numerical measures --
Describing bivariate data --
Probability and probability distributions --
Several useful discrete distributions --
Normal probability distribution --
Sampling distributions --
Large-sample estimation --
Large-sample tests of hypotheses --
Inference from small samples --
Analysis of variance --
Linear regression and correlation --
Multiple regression analysis --
Analysis of categorical data --
Nonparametric statistics.

In this [book, the authors] have used the computational shortcuts that computers provide to give [them] more time to emphasize statistical reasoning as well as the understanding and interpretation of statistical results ... [The authors have attempted] to explain not only how to apply statistical procedures, but also to explain: how to meaningfully describe real sets of data; what the results of statistical tests mean in terms of their practical applications; how to evaluate the validity of the assumptions behind statistical tests; [and] what to do when statistical assumptions have been violated.-Pref.