Assembly Language Programming: Inferential Statistics and Distribution Functions
29
nmcdf
Computes the normal distribution probability between
lowerbound
and
upperbound
for the specified mean
m
and standard deviation
s
. The defaults are
m
=0 and
s
=1.
nmcdf(
lowerbound
,
upperbound
[
,
m
,
s
]
)
invnm
Computes the inverse cumulative normal distribution function for a given
area
under the normal distribution curve specified by mean
m
and standard deviation
s
.
It calculates the
x
value associated with an
area
to the left of the
x
value. 0
area
1 must be true. The defaults are
m
=0 and
s
=1.
invnm(
area
[
,
m
,
s
]
)
tpdf
Computes the probability density function (pdf) for the Student-
t
distribution at a
specified
x
value.
df
(degrees of freedom) must be > 0. To plot the Student-
t
distribution, paste
tpdf
to the
y=
editor. The
is:
f x
df
df
x
df
df
df
( )
[(
)
]
(
)
(
)
(
)
=
+
+
−
+
Γ
Γ
1 2
2
1
2
1 2
/
/
/
/
π
tpdf(
x
,
df
)
Note: For this example,
xMin =
L
4.5
xMax = 4.5
xScl = 1
yMin = 0
yMax = .4
yScl = 1
xRes = 1
tcdf
Computes the Student-
t
distribution probability between
lowerbound
and
upperbound
for the specified
df
(degrees of freedom), which must be > 0.
tcdf(
lowerbound
,
upperbound
,
df
)
