Texas Instruments TI-83 - Page 271

Inferential Statistics and Distributions 13-33
8313INFE.DOC TI-83 international English Bob Fedorisko Revised: 02/19/01 12:47 PM Printed: 02/19/01 1:38 PM
Page 33 of 36
binompdf( computes a probability at
x
for the discrete
binomial distribution with the specified
numtrials
and
probability of success (
p
) on each trial.
x
can be an integer
or a list of integers. 0
p
1 must be true.
numtrials
must be
an integer > 0. If you do not specify
x
, a list of probabilities
from 0 to
numtrials
is returned. The probability density
function (pdf) is:
fx
n
x
pp x n
xnx
() ( )
=






−=
−
101
,,,,

where
n = numtrials
binompdf(
numtrials
,
p
[
,
x
]
)
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
]
)
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:
fx e x x
x
() !==
−µ
µ
/, ,,,
012

poissonpdf(
m
,
x
)
binompdf(
binomcdf(
poissonpdf(