Praise for the first edition:

"One of my biggest complaints when I teach introductory statistics classes is that it takes me most of the semester to get to the good stuff—inferential statistics. The author manages to do this very quickly….if one were looking for a book that efficiently covers basic statistical methodology and also introduces statistical software [this text] fits the bill." -The American Statistician

Applied Statistical Inference with MINITAB, Second Edition

• Gives readers a solid foundation in how to apply many different statistical methods.
• MINITAB is fully integrated throughout the text.
• Includes fully worked out examples so students can easily follow the calculations.
• Presents many new topics such as one- and two-sample variances, one- and two-sample Poisson rates, and more nonparametric statistics.
• Features mostly new exercises as well as the addition of Best Practices sections that describe some common pitfalls and provide some practical advice on statistical inference.

This book is written to be user-friendly for students and practitioners who are not experts in statistics, but who want to gain a solid understanding of basic statistical inference. This book is oriented towards the practical use of statistics. The examples, discussions, and exercises are based on data and scenarios that are common to students in their everyday lives.