Many paths lead to statistical inference

A tétel rövid nézete
dc.contributor.authorBorovcnik, Manfred
dc.date.accessioned2024-07-30T13:18:18Z
dc.date.available2024-07-30T13:18:18Z
dc.date.issued2020-11-04
dc.description.abstractFor statistics education, a key question is how to design learning paths to statistical inference that are elementary enough that the learners can understand the concepts and that are rich enough to develop the full complexity of statistical inference later on. There are two ways to approach this problem: One is to restrict the complexity. Informal Inference considers a reduced situation and refers to resampling methods, which may be completely outsourced to computing power. The other is to find informal ways to explore situations of statistical inference, also supported with the graphing and simulating facilities of computers. The latter orientates towards the full complexity of statistical inference though it tries to reduce it for the early learning encoun-ters. We argue for the informal-ways approach as it connects to Bayesian methods of inference and allows for a full concept of probability in comparison to the Informal Inference, which reduces probability to a mere frequentist concept and – based on this – restricts inference to a few special cases. We also develop a didactic framework for our analysis, which includes the approach of Tamás Varga. Subject Classification: 97K10, 97K70, 97K50, 97D20en
dc.formatapplication/pdf
dc.identifier.citationTeaching Mathematics and Computer Science, Vol. 18 No. 4 (2020): Varga 100, Special Issue, Volume 2 , 259-293
dc.identifier.doihttps://doi.org/10.5485/TMCS.2020.0504
dc.identifier.eissn2676-8364
dc.identifier.issn1589-7389
dc.identifier.issue4
dc.identifier.jatitleTeach. Math. Comp. Sci.
dc.identifier.jtitleTeaching Mathematics and Computer Science
dc.identifier.urihttps://hdl.handle.net/2437/378545
dc.identifier.volume18
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/tmcs/article/view/11009
dc.rights.accessOpen Access
dc.rights.ownerManfred Borovcnik
dc.subjectInformal Inferenceen
dc.subjectStatistical inferenceen
dc.subjectBayes inferenceen
dc.subjectResamplingen
dc.subjectVarga’s approachen
dc.subjectElementarisationen
dc.titleMany paths lead to statistical inferenceen
dc.typefolyóiratcikkhu
dc.typearticleen
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Teaching Mathematics and Computer Science (DE-journals)