What are the four rules that have to be followed to use a
Poisson distribution?
In probability theory, the Poisson distribution is about
probability distribution. A Poisson distribution helps in
describing the probability of occurrence of a number of events in
certain given time interval.
The four basic rules are
- Random – This means an even can occur any number of times
during a period.
- Average rate of occurrence is constant – this means the rate
does not change with time
- Independent – This means if an even occurs it does not affect
the probability of another event occurring in the same period
- Probability of an event occurring is proportional to the length
of the time period
Example :
Let us check how Poissons distribution is appropriate for number
of phone calls an office receives at noon.
Average is 10 calls per hours during noon.
- Although total number of calls are 10, they can take any number
of calls during the period
- Occurrence rate is assumed to be constant
- As the events are independent, hence no caller is affecting the
chances of another person calling
- Probability of getting a call in first half hour is the same as
the probability of getting the call in the second half hour.