Assembly Language Programming: Inferential Statistics and Distribution Functions
31
Ü
Ü
cdf
Computes the
Û
distribution probability between
lowerbound
and
upperbound
for
the specified
numerator df
(degrees of freedom) and
denominator df
.
numerator
df
and
denominator df
must be integers > 0.
Ü
cdf(
lowerbound
,
upperbound
,
numerator df
,
denominator df
)
bipdf
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
is:
f x
n
x
p
p
x
n
x
n
x
( )
(
)
=
−
=
−
1
0 1
,
, ,
,
K
where
n = numtrials
bipdf(
numtrials
,
p
[
,
x
]
)
bicdf
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.
bicdf(
numtrials
,
p
[
,
x
]
)
pspdf
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
is:
f x
e
x
x
x
( )
!
=
=
− µ
µ
/
,
, , ,
0 1 2
K
pspdf(
m
,
x
)
