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Exponential Distributions

Learning Objectives

Understand the shape, statistical properties and probability formulas for exponential distributions.

Properties of Exponential Distributions

An exponential distribution is:

  • A highly used ‘continuous’ distribution
  • Often used to model the time elapsed between events (we call this x).
  • It is ‘memoryless’ (see more in the ‘MEMORYLESS’ section below)
  • We call the average lambda (λ). It measures the average number of events per time unit.
  • It is right skewed (mean > median), and λ and x can never be negative.
Graphs of three different exponential distributions for different values of lambda.
The exponential distribution for different values of lambda.

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An Introduction to Business Statistics for Analytics (1st Edition) Copyright © 2024 by Amy Goldlist; Charles Chan; Leslie Major; Michael Johnson is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.

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