This repository contains a Jupyter notebook for students and/or instructors completing the active-learning exercise for Bayesian Analaysis, as described in:
Eadie, G., Huppenkothen, D., Springford, A., and T. McCormick (2019), "Introducing Bayesian Analysis With m&m’s®: An Active-learning Exercise for Undergraduates, Journal of Statistics Education, pp. 60-67. https://doi.org/10.1080/10691898.2019.1604106
It also contains the R code (.r files) and the data that were used to create Figures 2, 3, and 5 in the paper. The repository also contains the figures that were created for the publication.