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Meyer, Joerg – Teaching Statistics: An International Journal for Teachers, 2020
Some situations are presented with perplexing properties, which become clearer by looking at contingency tables. This in turn leads to problems that can be solved using conditional frequencies and thus leading to the Bayes formula with natural frequencies or probabilities.
Descriptors: Bayesian Statistics, Teaching Methods, Probability, Mathematics Instruction
Berg, Arthur – Teaching Statistics: An International Journal for Teachers, 2021
The topic of Bayesian updating is explored using standard and non-standard dice as an intuitive and motivating model. Details of calculating posterior probabilities for a discrete distribution are provided, offering a different view to P-values. This article also includes the stars and bars counting technique, a powerful method of counting that is…
Descriptors: Bayesian Statistics, Teaching Methods, Statistics Education, Intuition
Erickson, Tim – Teaching Statistics: An International Journal for Teachers, 2017
Understanding a Bayesian perspective demands comfort with conditional probability and with probabilities that appear to change as we acquire additional information. This paper suggests a simple context in conditional probability that helps develop the understanding students would need for a successful introduction to Bayesian reasoning.
Descriptors: Bayesian Statistics, Probability, Introductory Courses, Mathematics Instruction
Satake, Eiki; Vashlishan Murray, Amy – Teaching Statistics: An International Journal for Teachers, 2015
This paper presents a comparison of three approaches to the teaching of probability to demonstrate how the truth table of elementary mathematical logic can be used to teach the calculations of conditional probabilities. Students are typically introduced to the topic of conditional probabilities--especially the ones that involve Bayes' rule--with…
Descriptors: Teaching Methods, Probability, Bayesian Statistics, Mathematical Logic
López Puga, Jorge – Teaching Statistics: An International Journal for Teachers, 2014
The aprioristic (classical, naïve and symmetric) and frequentist interpretations of probability are commonly known. Bayesian or subjective interpretation of probability is receiving increasing attention. This paper describes an activity to help students differentiate between the three types of probability interpretations.
Descriptors: Probability, Bayesian Statistics, Data Interpretation, Instructional Materials