1. There is a separate Poisson distribution for every value of l and n.
2. The Poisson distribution can always be used to approximate the probabilities of a binomial distribution.
4. Because l is usually small, small values of y are much more probable than large values when sampling from a Poisson distribution.
5. The power of a test of hypothesis for the Poisson parameter is increased as the number of units sampled is increased.