Students’ misconceptions about random variables

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aut.relation.endpage9
aut.relation.startpage1
aut.researcherKachapova, Farida
dc.contributor.authorKachapova, F
dc.contributor.authorKachapov, I
dc.date.accessioned2013-06-07T07:26:26Z
dc.date.available2013-06-07T07:26:26Z
dc.date.copyright2011-12-16
dc.date.issued2011-12-16
dc.description.abstractThis article describes some misconceptions about random variables and related counter-examples, and makes suggestions about teaching initial topics on random variables in general form instead of doing it separately for discrete and continuous cases. The focus is on post-calculus probability courses.
dc.identifier.citationInternational Journal of Mathematical Education in Science and Technology, Vol. 43 (7), pp.963-971.
dc.identifier.doi10.1080/0020739X.2011.644332
dc.identifier.issn1464-5211
dc.identifier.urihttps://hdl.handle.net/10292/5427
dc.publisherTaylor & Francis
dc.relation.urihttp://dx.doi.org/10.1080/0020739X.2011.644332
dc.rightsCopyright © 2012 Taylor & Francis. This is a preprint of an article whose final and definitive form has been published in the International Journal of Mathematical Education in Science and Technology and is available online at: www.tandfonline.com with the open URL of your article (see Publisher’s Version).
dc.rights.accessrightsOpenAccess
dc.subjectMisconception
dc.subjectCounter-example
dc.subjectMixed random variable
dc.subjectSingular random variable
dc.subjectRiemann–Stieltjes integral
dc.subjectExpected value
dc.titleStudents’ misconceptions about random variables
dc.typeJournal Article
pubs.elements-id98795
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/School of Computing & Mathematical Science
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