I have a new position in a biology department (after being housed in a maths department) working on cognitive and population modeling. People in my lab are asking for help with applying statistical tests to their data set, but when people say "chi-squared", I say, "wikipedia".
I'd like to pick up a statistics book that is aimed at teaching someone with a fairly solid background in math and probability theory how to apply standard statistical tests to real data sets, and that goes into some of the practical issues with doing so.
Ideally I'd like a book that focuses on frequentist statistics -- my own research deals with Bayesian modeling, and (ironicly) I have a far easier time understanding and working with the more complex Bayesian data analyses that people bring to me than simpler frequentist analyses e.g. ANOVA hybrids