Chapter 13: Inferential Statistics and Distributions 247
binomcdf(
binomcdf( computes a cumulative probability at x for the discrete binomial distribution with the
specified
numtrials and probability of success (p) on each trial. x can be a real number or a list of
real numbers. 0
p1 must be true. numtrials must be an integer > 0. If you do not specify x, a list of
cumulative probabilities is returned.
binomcdf(numtrials,p[,x])
fx() e
μ–
μ
x
x!⁄ x, 0,1,2,...==
poissonpdf(
poissonpdf( computes a probability at x for the discrete Poisson distribution with the specified
mean m, which must be a real number > 0.
x can be an integer or a list of integers. The probability
density function (
pdf) is:
poissonpdf(m,x)
poissoncdf(
poissoncdf( computes a cumulative probability at x for the discrete Poisson distribution with the
specified mean m, which must be a real number > 0.
x can be a real number or a list of real
numbers.
poissoncdf(m,x)
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