Data Analysis

Data Analysis is a rare graduate statistics book that combines truth (scholarly strength) and beauty (a clear approach that builds from one chapter to the next). The book's model comparisons give students a systematic way to think deeply about their hypotheses, as well as the flexibility to answer meaningful questions about their own data that most textbooks address only briefly, if at all.

Most introductory statistics texts teach students how to apply specific tests in specific circumstances, with little room for generalizing knowledge to new settings. Data Analysis instead teaches students how to think like scientists, always framing hypothesis tests as formal comparisons between competing explanations. The first two editions were ahead of their time in their philosophical approach to data analysis, and this new one continues that tradition.