Texas Instruments TI-84 PLUS Guidebook - Page 251
Xmax = 4.5, Ymin = 0, degrees of freedom must be an integer > 0. To plot
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tpdf(x,df) Note: For this example, Xmin = L4.5 Xmax = 4.5 Ymin = 0 Ymax = .4 tcdf( 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) c2pdf( c2pdf( computes the probability density function (pdf) for the c2 (chi-square) distribution at a specified x value. df (degrees of freedom) must be an integer > 0. To plot the c2 distribution, paste c2pdf( to the Y= editor. The probability density function (pdf) is: f(x d--1-f---⁄---2---)-(1/2)df/2xdf ⁄ 2 - 1e-x/2,x ≥ 0 Chapter 13: Inferential Statistics and Distributions 244
Chapter 13: Inferential Statistics and Distributions
244
tpdf(
x
,
df
)
Note:
For this example,
Xmin =
L
4.5
Xmax = 4.5
Ymin = 0
Ymax = .4
tcdf(
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
)
c
2
pdf(
fx
()
1
Γ
df
2
⁄
(
)
-------------------- 1/2
(
)
df
/2
x
df
2
1
–
⁄
e
x
/2
–
x
0
≥
,
=
c
2
pdf(
computes the probability density function (
pdf
) for the
c
2
(chi-square) distribution at a
specified
x
value.
df
(degrees of freedom) must be an integer > 0. To plot the
c
2
distribution, paste
c
2
pdf(
to the Y= editor. The probability density function (
pdf
) is: