As with the binomial and geometric distributions, you can use simple formulas to compute the moments — expected value, variance, and standard deviation — of the Poisson distribution.
How to calculate the expected value of the Poisson distribution
You can find the expected value of the Poisson distribution by using the formula,
![image0.png](https://cdn.prod.website-files.com/6634a8f8dd9b2a63c9e6be83/6698d6c1ae71fbbe508d3bd7_460163.image0.png)
For example, say that on average three new companies are listed in the New York Stock Exchange (NYSE) each year. The number of new companies listed during a given year is independent of all other years. The number of new listings per year, therefore, follows the Poisson distribution, with a value of
![image1.png](https://cdn.prod.website-files.com/6634a8f8dd9b2a63c9e6be83/6698d6c1ae71fbbe508d3bcd_460165.image2.png)
As a result, the expected number of new listings next year is
![image2.png](https://cdn.prod.website-files.com/6634a8f8dd9b2a63c9e6be83/6698d6c1ae71fbbe508d3bcd_460165.image2.png)
How to compute the variance and standard deviation of the Poisson distribution
You can compute the variance and the Poisson distribution as
![image3.png](https://cdn.prod.website-files.com/6634a8f8dd9b2a63c9e6be83/6698d6c1ae71fbbe508d3bdf_460166.image3.png)
So, in the NYSE listing example, the variance equals 3 and the standard deviation equals
![image4.png](https://cdn.prod.website-files.com/6634a8f8dd9b2a63c9e6be83/6698d6c1ae71fbbe508d3bd3_460167.image4.png)