Page 289 - DCOM203_DMGT204_QUANTITATIVE_TECHNIQUES_I

Quantitative Techniques – I Dilfraz Singh, Lovely Professional University

Notes Unit 14: Poisson Probability Distribution

CONTENTS
Objectives

Introduction

14.1 Poisson Distribution
14.1.1 Probability Mass Function
14.1.2 Summary Measures of Poisson Distribution

14.1.3 Poisson Approximation to Binomial

14.1.4 Fitting of a Poisson Distribution
14.2 Features and Uses of Poisson Distribution
14.3 Summary

14.4 Keywords

14.5 Review Questions
14.6 Further Readings

Objectives

After studying this unit, you will be able to:
Define the term Poisson distribution

Discuss Poisson process in brief
Describe probability mass function
Focus on various measures of poisson distribution

Analyze Poisson approximation to binomial
Tell the uses of Poisson Probability Distribution

Introduction

Poisson distribution was a limiting case of binomial distribution, when the number of trials n
tends to become very large and the probability of success in a trial p tends to become very small
such that their product np remains a constant

Did u know? Poisson distribution was derived by a noted mathematician, Simon D. Poisson,
in 1837.

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