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Journal article
Teaching Bayesian Modeling to Beginners: A Case Study Using Educational Data
International Journal of Science and Research (IJSR), Vol.15(5), pp.193-198
05/05/2026
Abstract
This study presents a case-based approach to teaching Bayesian statistical modeling to an undergraduate student with no prior exposure within a single semester. The project applied a Beta-binomial model to estimate population proportions using educational data related to student accommodation needs. A comparison between frequentist and Bayesian approaches demonstrated that Bayesian estimates produced narrower interval widths and incorporated prior information effectively. The instructional design combined guided theory with hands-on application, enabling the student to complete a full data analysis cycle, including modeling, interpretation, and presentation. The results suggest that project-based Bayesian instruction is feasible at the undergraduate level and can improve conceptual understanding of uncertainty and inference. This approach provides a practical framework for integrating Bayesian methods into statistics curricula.
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- Title
- Teaching Bayesian Modeling to Beginners
- Publication Details
- International Journal of Science and Research (IJSR), Vol.15(5), pp.193-198
- Resource Type
- Journal article
- Publisher
- International Journal of Science and Research (IJSR)
- Number of pages
- 6
- Copyright
- © the author(s)
- Identifiers
- 99381791432806600
- Academic Unit
- Mathematics and Statistics; Hal Marcus College of Science and Engineering
- Language
- English