Teaching Bayesian and frequentist methods side by side

Presented by:
John Kruschke (Indiana University)
Abstract:
Frequentist and Bayesian statistical methods typically are taught in separate courses. I propose instead that frequentist and Bayesian methods can be fruitfully taught together. By setting the two approaches side by side, the goals and concepts of each approach are delineated more clearly. The teaching framework incorporates the essential topics of (i) hypothesis testing and (ii) estimation with uncertainty. The progression of topics is guided with a two-by-two table (based on the framework of Kruschke & Liddell, 2018). The table has columns for frequentist and Bayesian approaches, and rows for hypothesis testing and estimation with uncertainty. Teaching and learning are facilitated by an interactive Shiny app, arranged in a corresponding table. The app juxtaposes the different information provided by the different approaches, and interactively reveals dependencies of each approach on different assumptions. The teaching framework integrates the introduction of Bayesian methods and clarifies frequentist ideas.
Reference cited: Kruschke, J. K. and Liddell, T. M. (2018). The Bayesian new statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychonomic Bulletin & Review, 25, 178-206. DOI: doi.org/10.3758/s13423-016-12...
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[@desk-kun2366]

I never knew you could interpret the symbol Mu (µ) like that. That is so cool and so true. Regression to the mean/random chance is something that occurs with probably, everything.

[@carlpeck1414]

Outstanding presentation and app. Congratulations, John!

[@nurlatifahmohdnor8939]

I printed alot of materials.
Annual Report on the National Action Plan
on Women Peace and Security
January-December 2015
March, 2017
Evaluation Comittee of the National Action Plan
on Woman, Peace and Security
54 pages.

[@siswanto294]

Saya anda SISWANTO SIS.