Repeated sampling in a digital environment: a remix of data and chance

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

Abstract

Drawing statistical inferences (SI) is essential in a society where data are of increasing importance. Understanding the relation between data and chance, necessary to understand statistical inference, is however challenging for students. Technological innovations – such as the Sampler in TinkerPlots
(TP) – enable students to investigate this relationship by modeling a population and simulating repeated samples. Along this line, the research reported here presents the results of a pilot with fourteen 9th-grade students, inexperienced with sampling, in a Learning Lab. The pilot focuses on how students use TP as a digital environment for exploring data and chance – i.e. what strengths and
constraints they encounter – and how they subsequently use this information for SI. The results suggest that the participating students encountered difficulties in modeling the population, however, they were able to simulate, explore and reason inferentially through repeated sampling in TP.
Original languageEnglish
Title of host publicationProceedings of the Eleventh Congress of the European Society for Research in Mathematics Education
EditorsU. T. Jankvist, M. van den Heuvel-Panhuizen, M. Veldhuis
Place of PublicationUtrecht
PublisherFreudenthal Group & Freudenthal Institute, Utrecht University and ERME
Pages2985-2992
Number of pages8
ISBN (Print)978-90-73346-75-8
Publication statusPublished - 2019

Keywords

  • TinkerPlots
  • repeated sampling
  • (informal) statistical inference
  • modeling
  • statistics education

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