Table of Contents Table of Contents
Previous Page  342 / 762 Next Page
Basic version Information
Show Menu
Previous Page 342 / 762 Next Page
Page Background

342

Chapter 8: Discrete Probability Distributions

Solution:

Since

then

=

= 1.3333 (to four decimal places).

That is, if the student randomly guesses on the exam when it is taken a

repeated number of times, on average, the student will guess incorrectly after

every 1.3333 questions.

Figure 8-21

shows that the mean is 1.3333 to four

decimal places.

Section Review

8-8 The Poisson Probability Distribution

The Poisson distribution is used to model the number of occurrences within

a randomly chosen unit of time (e.g., minute, hour, day) or region (e.g., line

segment, area, volume). The distribution is named for the French

mathematician Siméon-Denis Poisson (1781–1840). For the Poisson

distribution to apply, the events must occur randomly and independently

over a continuum of time or region.

An illustration of the Poisson process is illustrated in

Figure 8-22

with the

continuum being time. Each dot (•) is an occurrence of the event of interest

Note:

Most common Poisson applications model arrivals

per unit of time

.

Figure 8-22:

Display of the Design for a Poisson Process

e-Self Review