Conditional Probability, Bayes and Classical Statistics—Evaluation of the Planned Secondary-School Reform in Hungary

Our main goal is to show that we can use classical and Bayesian statistics, including theoretical background, for introducing statistical inference in Hungarian high schools. In a first step, we will test the material we are developing with higher-level students. We introduce the concept of the project, including its theoretical background and previous pilot teaching experiments. The basis is the parallel introduction of classical and Bayesian methods of statistical inference. Long-term experience from research work and from seminars with future teachers provide evidence that this parallel approach is useful. Our framework is from the project “Guided Discovery in Mathematics Education,” that can be classified in different inquiry-based education forms (see Artigue and Blomhøj, 2013).