Lab Experiments In Probability
Author(s) -
James Reising
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--15390
Subject(s) - computer science , grasp , random variable , matlab , probabilistic logic , probability distribution , probability density function , probability theory , stochastic process , artificial intelligence , statistics , mathematics , programming language
The subject of probability occurs not only in courses on probability and statistics, but also in courses covering stochastic processes. The concept of using probability models to describe reallife problems seems difficult for many students to grasp. Mathematical software, such as MATLAB, provides a useful tool in performing simulations using probability models. To assist students in forming a conceptual link between the results of actual experiments and practical situations in which the outcome is predictable only in a probabilistic sense, several simple projects involving repeated trials of an experiment are used in a course in probability or random signals. MATLAB programs simulating the same experiment are assigned as part of each project. This paper describes several such experiments and the associated MATLAB simulations. Students working in groups of three or four compare their experimental results with the MATLAB simulations and to the results of other groups in the class. By comparing the actual and simulated results, students may develop some confidence in the use of computational software to simulate experiments for larger numbers of trials than they can realistically perform in practice.
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