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pro vyhledávání: '"Nicole Steib"'
Autor:
Nicole Steib, Stefan Krauss, Karin Binder, Theresa Büchter, Katharina Böcherer-Linder, Andreas Eichler, Markus Vogel
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Previous research on Bayesian reasoning has typically investigated people’s ability to assess a posterior probability (i.e., a positive predictive value) based on prior knowledge (i.e., base rate, true-positive rate, and false-positive rate). In th
Externí odkaz:
https://doaj.org/article/b09f05b440074275a5182c3076ab1cdc
Autor:
Theresa Büchter, Nicole Steib, Katharina Böcherer-Linder, Andreas Eichler, Stefan Krauss, Karin Binder, Markus Vogel
Publikováno v:
Education Sciences, Vol 12, Iss 11, p 739 (2022)
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 Reasoning is perceived to be difficult, but visualisations are known to support
Externí odkaz:
https://doaj.org/article/2ca4b65d03414dad9fafdbb5bf1e3f0e
Autor:
Theresa Büchter, Andreas Eichler, Nicole Steib, Karin Binder, Katharina Böcherer-Linder, Stefan Krauss, Markus Vogel
Publikováno v:
Mathematics, Vol 10, Iss 9, p 1558 (2022)
Bayesian Reasoning is both a fundamental idea of probability and a key model in applied sciences for evaluating situations of uncertainty. Bayesian Reasoning may be defined as the dealing with, and understanding of, Bayesian situations. This includes
Externí odkaz:
https://doaj.org/article/4b7868a0709e43318c8114c3611d2876
In stochastischen Situationen mit zwei dichotomen Merkmalen erlauben weder die schulüblichen Baumdiagramme noch Vierfeldertafeln die simultane Darstellung sämtlicher in der Situation möglicher Wahrscheinlichkeiten. Das im vorliegenden Beitrag vorg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::602fb5858addcb0a2afc6a370c6d0c6b
