Hacker News Reader

This guy has written up many of the most common statistical tests, their interpretations, and their assumptions in a very human-readable way:

I point a lot of newbs to pages on that site so that they can develop a better intuition for the methods.

This is an amazing resource thank you.

I wish I had this last semester during my statistics course.

If you're looking for more of this, but in greater depth, pick up a copy of Biometry.

It's written for biologists, but you don't really need to know much biology to work through the examples, and the focus is inherently practical.