Texas Instruments TI-84 Plus Guide Book

Chapter 13: Inferential Statistics and Distributions 378
c
2
cdf(
cdf(cdf(
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)
Fpdf(
Fpdf(Fpdf(
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
fx()
Γ nd+()/2[]
Γ n/2()Γd/2()
----------------------------------
n
d
---
⎝⎠
⎛⎞
n/2
x
n/2 1–
1 nx/d+()
nd+()/2–
x 0≥,=

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