Chapter 13: Inferential Statistics and Distributions
377
c
2
pdf(
pdf(
pdf(
pdf(
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:
c
2
pdf(
x
,
df
)
Note:
For this example,
Xmin = 0
Xmax = 30
Ymin =
L
.02
Ymax = .132
f x
( )
1
Γ
df
2
⁄
(
)
-------------------- 1/2
(
)
df
/2
x
df
2
1
–
⁄
e
x
/2
–
x
0
≥
,
=
Summary of Contents for -84 Plus
Page 1: ...TI 84 Plus TI 84 Plus Silver Edition Guidebook...
Page 213: ...Chapter 8 Draw Instructions 210...
Page 248: ...Chapter 10 Matrices 245 row value matrix rowA rowB...
Page 332: ...Chapter 12 Statistics 329...
Page 413: ...Chapter 14 Applications 410...
Page 427: ...Chapter 15 CATALOG Strings Hyperbolic Functions 424 sinh 1 value cosh 1 value sinh 1 value...
Page 496: ...Chapter 17 Activities 493 If C A and D B Stop Goto Z Quit if guesses are correct...
Page 672: ...Appendix C Service and Warranty Information 669...