Teaching probability using computer‐based simulations
Date Issued
2022
Author(s)
Nikolovski, Filip
Abstract
In this paper we develop and present a number of examples in which probabilities of events are modeled using computer‐based simulations. The principal goal of this approach is to help students who have started learning probability and statistics understand the concepts in those fields. In the authors' opinion, the outlined approach possesses several advantages, namely: it engages students in logical and critical thinking in its implementation, it offers great flexibility, adaptability, and possibility for generalization, it allows working with more advanced problems, and it leads to an easier acquisition of some notions and processes which are used in further application of probability theory and in statistics. The selected examples have been implemented using interactive notebooks in the programming language Python and are uploaded to a public access server for ease of access and sharing.