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
p
1 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
]
)
f x
( )
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 (
) 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
)
