Top Bottom Similar to the binomial distribution but where the sample size is large relative to the population size. A distribution that characterizes the number of failures before the kth succes in a series of Bernoulli trials. A distribution that expresses probabilities that concern the number of events per unit time. Often used to describe situations in which the probability of an event is small and the number of opportunities for the event is large. Good for applicable inspection sampling plans.
Events occur at a constant average rate, with only one of two outcomes countable.
The Poisson is an extension of the binomial distribution in which the number of samples is infinite. Possible use with project task times. A distribution that fits time-series data, such as arrival times, where you expect arrivals at a constant rate. This distribution is a special case of both the Gamma and the Weibull distributions. A distribution for fitting the limiting distribution for the maximum number of samples collected from a process.