|Jim Albert (USA)||firstname.lastname@example.org|
This paper reviews the past and current interest in using Bayesian thinking to introduce statistical inference. A Rationale for using a Bayesian approach is described and particular methods are described that make it easier to understand Bayes' rule. Several older and modern introductory statistics books are reviewed that use a Bayesian perspective. It is argued that a Bayesian perspective is very helpful in teaching a course in statistical literacy.
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