A Teaching Design on "Classical Probability Model"

This article presents a teaching design scheme for classical probability models. It conducts targeted analysis and training on several aspects where students are prone to make mistakes when learning classical probability models. It is hoped that through comparative analysis of different solutions to typical examples, students can greatly improve in terms of calculation accuracy and simplicity. The mistakes made by students mainly include misjudging the equal possibility of sample points, inaccurate reduction of the sample space, and being unable to choose the simplest method when choosing permutation or combination for calculation.

Authors

Publication Details

Journal
Journal of Educational Research and Policies
Published
2024-11-28
DOI
https://doi.org/10.53469/jerp.2024.06(11).17
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
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article

A Teaching Design on "Classical Probability Model"

Dong Xiao-yan
Journal of Educational Research and Policies
Statistics Education and Methodologies
article

A Teaching Design on "Classical Probability Model"

Dong Xiao-yan
article en

Abstract

This article presents a teaching design scheme for classical probability models. It conducts targeted analysis and training on several aspects where students are prone to make mistakes when learning classical probability models. It is hoped that through comparative analysis of different solutions to typical examples, students can greatly improve in terms of calculation accuracy and simplicity. The mistakes made by students mainly include misjudging the equal possibility of sample points, inaccurate reduction of the sample space, and being unable to choose the simplest method when choosing permutation or combination for calculation.

Journal of Educational Research and PoliciesVol. 6(11)
Openalex Percentile: Top 78%
Statistics Education and Methodologies
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A Teaching Design on "Classical Probability Model" — Dong Xiao-yan · Journal of Educational Research and Policies (2024) | TGRS Research Map | TGRS