http://arxiv.org/abs/1904.11006
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.
G. Eadie, D. Huppenkothen, A. Springford, et. al.
Fri, 26 Apr 19
2/69
Comments: Accepted to the Journal of Statistics Education (in press); 15 pages, 7 figures