A planned experiment in inferential statistics Preliminaries: historical and theoretical Piloting: Results and consequences Objectives and Plans
Historical Background Tamás Varga Tibor Nemetz Theoretical foundations Basis of the “parallel-teaching” research
Real-life Task for Introduction to Bayes: Diagnostic Context
Interpretation of results: Relating probability to concrete statements Interpretation of results: Long-run performance Clash between Bayesian & Classical We see different notions of probability at work The rationale for parallel teaching Easy concepts Bayesian thinking
Planning the experiments Three versions of curricula and material Problem sequences as a teaching tool The stakes as a starting point Start by making the best bet Further considerations on best bets Structure of the material Basic structure Approaches to probability
Historical Background Tamás Varga Tibor Nemetz Theoretical foundations Basis of the “parallel-teaching” research
Real-life Task for Introduction to Bayes: Diagnostic Context
Interpretation of results: Relating probability to concrete statements Interpretation of results: Long-run performance Clash between Bayesian & Classical We see different notions of probability at work The rationale for parallel teaching Easy concepts Bayesian thinking
Planning the experiments Three versions of curricula and material Problem sequences as a teaching tool The stakes as a starting point Start by making the best bet Further considerations on best bets Structure of the material Basic structure Approaches to probability