Teaching Bayes' Rule using Mosaic Plots
Document Type
Article
Publication Date
11-30-2021
Abstract
Students taking statistical courses orientated for business or economics often find the standard presentation of Bayes' Rule challenging. This key concept involves understanding multiple conditional probabilities and how they constitute an unconditional sample space. Many textbooks try to aid the comprehension of Bayes' Rule by illustrating these probabilities with tree diagrams. In our opinion, these diagrams fall short in fully assisting the students to visualize Bayes' Rule. In this article, we demonstrate a graphical approach that we have successfully used in the classroom, but is neglected in introductory texts. This approach uses mosaic plots to show the weighting of the conditional probabilities and greatly aids the student in understanding the sample space and its associated probabilities.
DOI
https://arxiv.org/abs/2112.00162
Source Publication
arXiv.org repository
Recommended Citation
arXiv:2112.00162 [stat.AP]
Comments
The "Link to Full Text" on this page loads the arXiv.org e-print hosted at the arXiv repository.
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