10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan
This paper is from Session 6B: Learning Conditional Probability, Part 2
Full topic list
which comes under Topic 6: Innovations in teaching probability

Paper 6B1 (Tuesday 10th, 16:00-17:30)

Categorizing errors in Bayesian situations




Many researchers mentioned that learners struggle when dealing with Bayesian situations, i.e. in situations that require using Bayes’ formula. It is further a wide consensus that both natural frequencies and visualizations facilitate learners’ performance in Bayesian situations. In this contribution we refer to five visualizations of Bayesian situations, i.e. a tree diagram, a double-tree, an icon array, a unit square and a 2x2-table and investigate the errors that learners show when solve problems in Bayesian situations. We categorize these errors and link the errors to the specific characteristics of the visualizations.

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