We have discussed graphical models. Graphical models are a formalism for representing families of probability distributions. They are connected to efficient algorithms for computing marginals, conditionals, and other properties of the family. We now turn to the central question: How can we use joint probability distributions to make meaningful statements about observed data? (A) In a statistica...