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Eadie, Gwendolyn; Huppenkothen, Daniela; Springford, Aaron; McCormick, Tyler – Journal of Statistics Education, 2019
We present an active-learning strategy for undergraduates that applies Bayesian analysis to candy-covered chocolate m&m's®. 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 nonuniform distribution of…
Descriptors: Undergraduate Students, Bayesian Statistics, Active Learning, Learning Activities
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Pullenayegum, Eleanor M.; Guo, Qing; Hopkins, Robert B. – Journal of Statistics Education, 2012
Graduate students in the health sciences who hope to become independent researchers must be able to write up their results at a standard suitable for submission to peer-reviewed journals. Bayesian analyses are still rare in the medical literature, and students are often unclear on what should be included in a manuscript. Whilst there are published…
Descriptors: Bayesian Statistics, Critical Thinking, Graduate Students, Health Sciences