This relevant, readable text takes an applied approach to introducing upper-level undergraduate and beginning graduate biology students to statistical analysis. It presents commonly used experimental designs and associated parametric and nonparametric statistical tests, states the conditions under which each test is appropriate, gives the common assumptions on which statistical tests are based, and discusses the rationale of statistical hypothesis testing.
Good material there, though there are some typos and errors in the text. The presentation was a little cute at times (lots of parentheticals with exclamation points!), though the examples and practice problems are good, and the layout makes this a good reference book.
Some of the material would be benefit from better explanation; as it is a newbie would definitely need some help to get through this. I liked the presentation of ANOVA before regression - that probably would have helped me the first time I was learning this material.