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.
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