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(
f x
( )
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 (
) 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 (
) is:
