Decisions are often made under uncertainty. The most that one can do is use prior
knowledge (eg, base rates, prior probabilities, etc.) and make the most probable choice …

Previous studies on Bayesian situations, in which probabilistic information is used to update
the probability of a hypothesis, have often focused on the calculation of a posterior …

Previous research on Bayesian reasoning has typically investigated people's ability to
assess a posterior probability (ie, a positive predictive value) based on prior knowledge (ie …

Background Bayesian reasoning is understood as the updating of hypotheses based on
new evidence (eg, the likelihood of an infection based on medical test results). As experts …

Questions involving Bayesian Reasoning often arise in events of everyday life, such as
assessing the results of a breathalyser test or a medical diagnostic test. Bayesian …

Background Communicating well with patients is a competence central to everyday clinical
practice, and communicating statistical information, especially in Bayesian reasoning tasks …

In stochastischen Situationen mit zwei dichotomen Merkmalen erlauben weder die
schulüblichen Baumdiagramme noch Vierfeldertafeln die simultane Darstellung sämtlicher …

The durability of concrete structures is essential for reliable infrastructure. Although many
deterioration models are available, they are rarely applied in situ. For existing structures in …

The integration of dynamic visualisations, feedback formats and digital tools is characteristic
of state-of-the-art digital mathematics textbooks. Although there already is evidence that …

Patients need to be informed correctly and comprehensibly about the implications of their
medical test results. Reasoning in such situations, where, for example, a medical test result …