tpdf(x,df)
tcdf(
computes the Student-
tcdf(
specified
(degrees of freedom), which must be > 0.
df
tcdf(lowerbound,upperbound,df)
2
pdf(
c
2
computes the probability density function (
pdf(
c
specified
value.
(degrees of freedom) must be an integer > 0. To plot the c
x
df
2
to the Y= editor. The probability density function (
pdf(
c
1
df/2
f x ( )
(
)
-------------------- 1/2
=
Γ df 2 ⁄
(
)
Note: For this example,
Xmin =
4.5
L
Xmax = 4.5
Ymin = 0
Ymax = .4
distribution probability between
t
⁄
df 2 1
–
–
x/2
≥
x
e
,
x 0
Chapter 13: Inferential Statistics and Distributions
lowerbound
2
) for the c
(chi-square) distribution at a
pdf
) is:
pdf
and
for the
upperbound
2
distribution, paste
244
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