Exam prep, due on November 15


I think the most important concepts from the section are the Central Limit Theorem and having a basic understanding of the meaning of the different equations for each distribution: p.d.f., c.d.f., etc. I imagine that on the test there will be quite a few questions asking us to recognize which distribution will be best for the given data, and applying it to find the probability of certain values. I really need to spend time memorizing the different equations for each distribution. I've got several of them down, but I don't know all of them (especially the ones for the section on Bayesian statistics).

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