Poisson Distribution
Created on 2022-06-04T12:39:04-05:00
(e-μ * μx) / x!
Variables:
- e: Euler's e
- μ: Average number of observations per time period
- x: The amount of times you want to know the liklihood of ocurrence
The formula tells you how likely you will observe x events given an average of mu.
Useful for simulations where a known average number of events can be scattered across a timeline to simulate reasonable levels of load.