Using JMP - SAS

426 Formula Functions Reference Appendix B
Discrete Probability Functions
Beta Binomial Distribution
Returns the probability or pmf that a beta binomially distributed random variable is less than or equal to x.
In general, the beta binomial functions accept arguments that are the probability of success p (the event of
interest), the overdispersion parameter delta, and the number of trials n. When the overdispersion parameter
for the beta binomial is zero, the distribution reduces to a binomial(p, n).
Beta Binomial Probability
Returns the probability or cmf that a beta binomially distributed random variable is equal to x. When the
overdispersion parameter for the beta binomial is zero, the distribution reduces to a binomial(p, n).
Beta Binomial Quantile
Returns the smallest integer quantile for which the cumulative probability of the Beta Binomial (p, n, delta)
distribution is larger than or equal to the specified probability. When the overdispersion parameter for the
beta binomial is zero, the distribution reduces to a binomial (p, n).
Hypergeometric Distribution
Computes the probability that a random variable from a hypergeometric distribution is less than or equal to
x. The hypergeometric distribution models the total number of successes in a fixed sample drawn without
replacement from a finite population. The hypergeometric functions accept as arguments the size of the
population N, the total number of items with the desired characteristic in the population, K, the number of
samples drawn n, and the number of successes in the sample x.
Hypergeometric Probability
Computes the probability that a random variable from a hypergeometric distribution is equal to x.
Poisson Distribution
Computes the probability that a random variable from a Poisson distribution with mean lambda is less than
or equal to the count of interest. In general, Poisson functions accept an argument that is the count of
interest, and lambda, the mean parameter.
Poisson Probability
Computes the probability that a random variable from a Poisson distribution with mean lambda is equal to
the count of interest.
Poisson Quantile
Returns the smallest integer quantile for which the cumulative probability of the Poisson (lambda)
distribution is larger than or equal to p.