This lecture continues my basic presentation on statistical models. I review some concepts from the previous lectures (e.g., descriptive statistics), discuss different ways of thinking about degrees of freedom, and conclude by talking a little bit about sampling distributions. It's a long lecture, but I think it covers some interesting material!
