Chapter 13: Inferential Statistics and Distributions 245
c
2
pdf(x,df)
Note: For this example,
Xmin = 0
Xmax = 30
Ymin = L.02
Ymax = .132
c
2
cdf(
c
2
cdf( computes the c
2
(chi-square) distribution probability between lowerbound and upperbound for
the specified
df (degrees of freedom), which must be an integer > 0.
c
2
cdf(lowerbound,upperbound,df)
fx()
Γ nd+()/2[]
Γ n/2()Γd/2()
----------------------------------
n
d
---
⎝⎠
⎛⎞
n/2
x
n/2 1–
1 nx/d+()
nd+()/2–
x 0≥,=
Fpdf(
Ü
pdf( computes the probability density function (pdf) for the Ü distribution at a specified x value.
numerator df (degrees of freedom) and denominator df must be integers > 0. To plot the Ü distribution,
paste Ü
pdf( to the Y= editor. The probability density function (pdf) is:
where n = numerator degrees of freedom
d = denominator degrees of freedom
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