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1-108-PoissonProcess-ModelingScenario

Author(s): Mehdi Hakim-Hashemi

Normandale Community College, Bloomington MN USA

Keywords: Probability s stochastic processes Poisson process waiting time arrival

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Abstract

Resource Image In this project students learn to derive the probability density function (pdf) of the Poisson distribution and the cumulative distribution (cdf) of the waiting time. They will use them to solve problems in stochastic processes.

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Article Context

Resource Type
Differential Equation Type
Technique
Qualitative Analysis
Application Area
Course
Course Level
Lesson Length
Technology
Approach
Skills
Key Scientific Process Skills
Assessment Type
Pedagogical Approaches
Vision and Change Core Competencies - Ability
Principles of How People Learn
Bloom's Cognitive Level

Description

Suppose you want to find the probability of 5 costumers entering a certain bank between 9 AM and 11 AM. The process that addresses this problem, and similar problems, is called the Poisson process.

In this activity you will find a formula for the Poisson process by solving a system of differential equations.

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Authors

Author(s): Mehdi Hakim-Hashemi

Normandale Community College, Bloomington MN USA

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