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,...
=
=
Содержание -84 Plus
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Страница 248: ...Chapter 10 Matrices 245 row value matrix rowA rowB...
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Страница 354: ...Chapter 13 Inferential Statistics and Distributions 351 Ha p1 p2 p1 p2 Input Calculated results Drawn results...
Страница 413: ...Chapter 14 Applications 410...
Страница 427: ...Chapter 15 CATALOG Strings Hyperbolic Functions 424 sinh 1 value cosh 1 value sinh 1 value...
Страница 496: ...Chapter 17 Activities 493 If C A and D B Stop Goto Z Quit if guesses are correct...
Страница 516: ...Chapter 17 Activities 513 At which monthly payment will the principal allocation surpass the interest allocation...
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