The role of probability in developing learners' models of simulation approaches to inference

Journal article


Lee, Hollylynne S., Doerr, Helen M., Tran, Dung and Lovett, Jennifer N.. (2016). The role of probability in developing learners' models of simulation approaches to inference. Statistics Education Research Journal. 15(2), pp. 216 - 238.
AuthorsLee, Hollylynne S., Doerr, Helen M., Tran, Dung and Lovett, Jennifer N.
Abstract

Repeated sampling approaches to inference that rely on simulations have recently gained prominence in statistics education, and probabilistic concepts are at the core of this approach. In this approach, learners need to develop a mapping among the problem situation, a physical enactment, computer representations, and the underlying randomization and sampling processes. We explicate the role of probability in this approach and draw upon a models and modeling perspective to support the development of teachers' models for using a repeated sampling approach for inference. We explicate the model development task sequence and examine the teachers' representations of their conceptualizations of a repeated sampling approach for inference. We propose key conceptualizations that can guide instruction when using simulations and repeated sampling for drawing inferences.

Year2016
JournalStatistics Education Research Journal
Journal citation15 (2), pp. 216 - 238
PublisherInternational Association for Statistical Education
ISSN1570-1824
Scopus EID2-s2.0-85016092832
Page range216 - 238
Research GroupSchool of Education
Publisher's version
File Access Level
Controlled
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https://acuresearchbank.acu.edu.au/item/86y77/the-role-of-probability-in-developing-learners-models-of-simulation-approaches-to-inference

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