Chapter 13: Inferential Statistics and Distributions
246
Ü
pdf(
x
,
numerator df
,
denominator df
)
Note:
For this example,
Xmin = 0
Xmax = 5
Ymin = 0
Ymax = 1
Fcdf(
Ü
cdf(
computes the
Ü
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
)
f x
( )
n
x
⎝ ⎠
⎛ ⎞
p
x
1
p
–
(
)
n x
–
x
,
0,1,...,
n
=
=
binompdf
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 (
) is:
where
n = numtrials
binompdf(
numtrials
,
p
[
,
x
]
)
