I know there are some other questions out there on book recommendations, but I've looked into a lot of the books in those answers and haven't quite found what I'm looking for.
I am going to be starting a Masters program in Predictive Analytics this fall. My background is Bachelor's in CS with a couple years experience doing software development in the industry. I had an introductory statistics course in college, but it was rather worthless and, having not used it for a couple years, I've forgotten most of the information I did learn.
The topics for the prereq introductory course (for which I will likely receive a waiver, given my background) include: descriptive statistics, elementary probability rules, sampling, distributions, confidence intervals, correlation, regression and hypothesis testing. A book that provides at a minimum a solid understanding of these topics would be great. I imagine this is more of an applied statistics situation, versus deep mathematical foundations.
I'm looking for some recommendations on books that can get me prepared for the Masters program again. Introductory level and beyond. What I really want is some books that have problem sets and availability of corresponding answers. In order to learn, I really need to put the concepts to work, and would like to be able to check the answers I come up with.