Simulation approaches for informal inference: models to develop understanding

Hollylynne S. Lee*, Dũng Trần, Jennifer Nickell, Helen Doerr

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Simulation approaches to inference have gained prominence in statistics education. In this paper we combine a theoretical analysis of the ways researchers and curriculum developers have represented models of simulation processes with an empirical analysis of the ways teachers represent models of the process they believe would be helpful to students. Our results cumulate in suggestions for a more explicit framework for using a simulation approach to inference.
Original languageEnglish
Title of host publicationCERME9
Subtitle of host publicationProceedings of the 9th Congress of European Research in Mathematics Education
EditorsKonrad Krainer, Naďa Vondrová
Place of PublicationPrague, Czech Republic
PublisherCharles University
Pages707-714
Number of pages8
ISBN (Print)9788072908448
Publication statusPublished - 2015
Externally publishedYes
EventCongress of the European Society for Research in Mathematics Education (9th : 2015) - Prague, Czech Republic
Duration: 4 Feb 20158 Feb 2015

Conference

ConferenceCongress of the European Society for Research in Mathematics Education (9th : 2015)
CountryCzech Republic
CityPrague
Period4/02/158/02/15

Keywords

  • teachers
  • modelling
  • technology
  • informal inference

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