We'd need at least an entire semester, and perhaps more, to truly do any justice to the study of Bayesian statistics. The best we can do in this course is to dabble a bit and in doing so take just a tiny peak at the world through the eyes of a Bayesian. First, we'll take a look at an example that illustrates how a Bayesian might assign a (subjective) probability to an event given the information he or she has available. Then, we'll investigate how a Bayesian might estimate a parameter. Finally, we'll explore how a Bayesian might update the prior information he or she has about the value of a parameter.