Summary
Although most introductory data analysis texts don't even broach the topic of Bayesian methods, you, dear reader, are versed enough in this matter to start applying these techniques to real problems.
We discovered that Bayesian methods could—at least for the models in this chapter—not only allow us to answer the same kinds of questions we might use the binomial, one sample t-test, and the independent samples t-test for, but provide a much richer and more intuitive depiction of our uncertainty in our estimates. If these approaches interest you, I urge you to learn more about how to extend these to supersede other NHST tests. I also urge you to learn more about the mathematics behind MCMC. As with the last chapter, we covered much ground here. If you made it through, congratulations! This concludes the unit on confirmatory data analysis and inferential statistics. In the next unit, we will be less concerned with estimating parameters, and more interested in prediction. Last one there...
