Calculate the expected value (average number of events) for a Poisson distribution. Perfect for modeling rare events, arrivals, defects, or any scenario where events occur randomly over time or space.
The expected value E(X) represents the average number of events occurring in a fixed interval of time or space. For Poisson, this is simply λ - the rate parameter. If λ = 3, you expect 3 events per interval on average.
With E(X) = 3.00, this means:
The Poisson distribution models rare, random events occurring at a constant average rate. The parameter λ represents this rate - the expected number of occurrences. By definition, if the average rate is λ, then the expected value IS λ. No calculation needed - it is built into the definition of the distribution!