I found this very useful for learning the mechanics of some common statistical practices (you know, instead of selecting them from dropdown menus or functions). I also appreciated the introduction to various experimental designs for ANOVA, which seems to be assumed as understood in most literature.
I had two problems with the book. First, I wished that the author would not have worked so hard to avoid algebraic notation in favor of text. The text explanations are helpful, but it's a lot easier to follow the math when mathematical language is used (and supplemented with text explanations). Second, there are a disturbing number of typos in this book, and a fair number of them are in the math, not just in the writing (where you can discern the meaning through the typo). It's rather frustrating to find typos in the solutions in the back of the book. The typos get worse as the book goes on, making me think that the editor lost focus as they worked through it. There is apparently a second edition, and I'd recommend paying for it just because some of the typos might be eliminated.
As a good explanation of why basic parametric statistics works the way it does, it was well worth it. That said, I'm not doing any more statistics on a pocket calculator again. It's the 21st century.