The Poisson distribution is most commonly used to model the number of
random occurrences of some phenomenon in a specified unit of space or
time. For example,
· The number of phone calls received by a telephone operator
in a 10-minute period.
· The number of flaws in a bolt of fabric.
· The number of typos per page made by a secretary.
The number of false fire alarms in a suburb of Houston averages 2.1
per day. Assuming that a Poisson distribution is appropriate, the probability
that 4 false alarms will occur on a given day is given by