Texas Instruments TI-86 - ViewScreen Calculator, Manual Book

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Assembly Language Programming: Inferential Statistics and Distribution Functions
28
Distribution (DISTR) Functions
STAT DISTR (Inferential Statistics Distribution) Menu
- Π/ ' '
TESTS DISTR DRAW FUNC Uninst 4 RsltOn RsltOf
nmpdf nmcdf invnm tpdf tcdf 4 chipdf chicdf Fpdf Fcdf bipdf
4
bicdf pspdf pscdf gepdf gecdf
Instruction Function
nmpdf Normal probability density
nmcdf Normal distribution probability
invnm Inverse cumulative normal distribution
tpdf Student- t probability density
tcdf Student- t distribution probability
chipdf Chi-square probability density
chicdf Chi-square distribution probability
Ü
pdf
Û
probability density
Ü
cdf
Û
distribution probability
bipdf Binomial probability
bicdf Binomial cumulative density
pspdf Poisson probability
pscdf Poisson cumulative density
gepdf Geometric probability
gecdf Geometric cumulative density
Note:
L
1
å
99 and 1
å
99 approximate infinity. If you want to view the area left of
upperbound , for example, specify lowerbound=
L
1
å
99.
nmpdf
Computes the probability density function ( pdf ) for the normal distribution at a
specified x value. The defaults are mean
m
=0 and standard deviation
s
=1. To plot
the normal distribution, paste
nmpdf
to the
y
= editor. The
pdf
is:
f x e
x
( )
= >
−
−
1
2
0
2
2
2
π σ
σ
µ
σ
( )
,
nmpdf(
x [
,
m
,
s
]
)
Note: For this example,
xMin = 28
xMax = 42
xScl = 1
yMin = 0
yMax = .25
yScl = 1
xRes = 1
For plotting the normal
distribution, you can set
window variables xMin and
xMax
so that the mean
m
falls
between them, and then
press
6 ( / &
to
fit the graph in the window.