This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.
This was the text used in my undergraduate program for a course in Calculus based Probability and Statistics. I would say it did a sound job, by providing a guide to different statistical distributions, permutations, combinations, relevant definitions, problems, and more. I did many of the problems in the book and got a lot out of it. I think this text adequately prepares me for graduate level Probability/Statistics.
As a student that already has to contend with grossly overpriced books and college tuition: nothing, and I mean NOTHING irritates me more than being told I need to get a solutions manual to see the odd answers for chapter review exercises.