Poisson distribution is actually another probability distribution formula.  As per binomial distribution, we won’t be given the number of trials or the probability of success on a certain trail. The average number of successes will be given in a certain time interval. The average number of successes is called “Lambda” and denoted by the symbol “λ”.

The formula for Poisson Distribution formula is given below:

$$P(X=x)=\frac{e^{-\lambda }{\lambda }^x}{x!}$$

Here,

 is the average number
x is a Poisson random variable.
e is the base of logarithm and e = 2.71828 (approx).

Solved Example

Question: As only 3 students came to attend the class today, find the probability for exactly 4 students to attend the classes tomorrow.

Solution:

Given,
Average rate of value(

) = 3
Poisson random variable(x) = 4

Poisson distribution = P(X = x) =