For two-semester, junior/senior-level courses in Introductory Statistics and Data Analysis; and for first-year graduate courses in applied disciplines. This text was written for Junior/Senior or graduate level students with a background in calculus who are required to take one course in statistics. The goal of the text is to introduce future engineers, scientists, economists, applied mathematicians, computer scientists, high school math teachers, experimental psychologists, and others to the concepts and methods of modern statistics and its applications to a wide variety of fields. The text emphasizes computer assisted data analyses as well as the mathematical bases of the underlying statistical methods.
An OK overview of statistics. It lacks depth in some areas where I'd like, and the examples to provide clarity are often too simple. However, for the engineer, this seems to cover all the bases.
Pretty good intro/mid-level statistics book. Not proof heavy (at times to its detriment), but contains a lot of examples and applications of the various topics. Overall, if you're starting with stats or have an introductory-level understanding of them, this is a pretty solid resource.
I found the section on non-parametric methods to be especially well written- great examples and great explanation.