Chapter 13: Inferential Statistics and Distributions
381
poissonpdf(
poissonpdf(
poissonpdf(
poissonpdf(
poissonpdf(
computes a probability at
x
for the discrete Poisson distribution with the
specified mean
m
, which must be a real number > 0.
x
can be an integer or a list of
integers. The probability density function (
) is:
poissonpdf(
m
,
x
)
poissoncdf(
poissoncdf(
poissoncdf(
poissoncdf(
poissoncdf(
computes a cumulative probability at
x
for the discrete Poisson distribution
with the specified mean
m
, which must be a real number > 0.
x
can be a real number or a
list of real numbers.
poissoncdf(
m
,
x
)
geometpdf(
geometpdf(
geometpdf(
geometpdf(
geometpdf(
computes a probability at
x
, the number of the trial on which the first success
occurs, for the discrete geometric distribution with the specified probability of success
p
.
f x
( )
e
µ
–
µ
x
x
!
⁄
x
,
0,1,2,...
=
=
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...