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Assembly Language Programming: Inferential Statistics and Distribution Functions
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.
lowerbound
upperbound[
nmcdf(
,
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.
m
s ]
area[
invnm(
,
,
)
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
to the
tpdf
[(
df
1 2
) ]
/
(
1
f x
( )
(
df
/
2
)
x
df
tpdf(
,
)
tcdf
Computes the Student-t distribution probability between lowerbound and
upperbound for the specified df (degrees of freedom), which must be > 0.
lowerbound
upperbound
tcdf(
,
m
s ]
,
,
)
editor. The
is:
y=
pdf
(
df
1 2
)
/
2
x df
/
)
df
Note: For this example,
xMin = L4.5
xMax = 4.5
xScl = 1
yMin = 0
yMax = .4
yScl = 1
xRes = 1
df
,
)
29
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