# When is it appropriate to assume that data fits into a Poisson distribution?

Oct 25, 2015

The Poisson is a discrete random variable. Start by checking to see if the parameters of the data are similar to the Poisson.

#### Explanation:

The parameters of the Poisson (mean and variance) are equal .

p(x) =(e^-lamda)(lamda)^x/(x!)

where, mean = variance $= l a m \mathrm{da}$

So, if the discrete data has equal mean and variance, then try using the Poisson.

Hope that helps