For counting experiments where the data is the number of events observed per unit time interval. It is the limit of the binomial distribution when p << 1.
with 
and 
.
Thus it can be described by a single parameter, 
, the average
number of events in each time interval. The Poisson distribution
applies when the number of events observed is << than the total
number of events that are possible.