2a) Building and sampling from a PyMC model First, let's get acquainted with the structure of PyMC, and show that methods of approximate inference are (in many cases) just as good as having access to the exact distribution. Just like in Question 1, we're still trying to estimate the SAR using the posterior mean; only this time, we'll be using PyMC to get an approximate