Distribution (Distr) Functions; Stat Distr (Inferential Statistics Distribution) Menu - Texas Instruments TI-86 Manual Book

Assembly Language Programming: Inferential Statistics and Distribution Functions
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.

Distribution (DISTR) Functions

STAT DISTR (Inferential Statistics Distribution) Menu

TESTS DISTR DRAW
nmpdf nmcdf invnm
Instruction Function
nmpdf Normal probability density
nmcdf Normal distribution probability
invnm Inverse cumulative normal distribution
Student-t probability density
tpdf
tcdf Student-t distribution probability
chipdf Chi-square probability density
chicdf Chi-square distribution probability
Ü Û probability density
pdf
Ü Û distribution probability
cdf
bipdf Binomial probability
bicdf Binomial cumulative density
Poisson probability
pspdf
pscdf Poisson cumulative density
gepdf Geometric probability
gecdf Geometric cumulative density
L1å99 and 1å99 approximate infinity. If you want to view the area left of
Note:
upperbound, for example, specify lowerbound=L1å99.
nmpdf
Computes the probability density function (
specified x value. The defaults are mean m =0 and standard deviation s =1. To plot
the normal distribution, paste
2
( x )
1
2
2
f x ( ) e ,
2
m s]
x[
nmpdf( , , )
4
FUNC Uninst RsltOn
4
tpdf tcdf chipdf
4 bicdf
) for the normal distribution at a
pdf
to the = editor. The
nmpdf y
0
Note: For this example,
xMin = 28
xMax = 42
xScl = 1
yMin = 0
yMax = .25
yScl = 1
xRes = 1
- Π/ ' '
RsltOf
chicdf Fpdf Fcdf
pspdf pscdf gepdf
is:
pdf
28
bipdf
gecdf