Resources to help a recent statistics graduate deal with real world statistical problems I recently got my master's in biostatistics, so I know the basics. However in my work there are many situations where people ask me "would it be statistically valid to do xyz" and I really don't know what to say because it's such a specific situation that I've never dealt with before. For example, I recently had a client who was trying to compare two groups with vastly different sample size and demographics.
I realize this is a shot in the dark but is anybody aware of a book or something where the authors go through a variety of real world statistical problems - in areas such as basic hypothesis testing, regression, clustering? Or just any advice in general for me.

Cross Validated!
I wouldn’t have been able to benefit from Cross Validated without going to graduate school, but I feel like I’ve learned more by reading and posting here. That sounds like your situation, where you know the basics but want to go to that next level.
