  We present an active-learning strategy for undergraduates that applies
Bayesian analysis to candy-covered chocolate $\text{m&m's}^\circledR$. The
exercise is best suited for small class sizes and tutorial settings, after
students have been introduced to the concepts of Bayesian statistics. The
exercise takes advantage of the non-uniform distribution of
$\text{m&m's}^\circledR~$ colours, and the difference in distributions made at
two different factories. In this paper, we provide the intended learning
outcomes, lesson plan and step-by-step guide for instruction, and open-source
teaching materials. We also suggest an extension to the exercise for the
graduate-level, which incorporates hierarchical Bayesian analysis.
