Chapter 13: Inferential Statistics and Distributions
380
of integers. 0
p
1 must be true.
numtrials
must be an integer > 0. If you do not specify
x
, a
list of probabilities from 0 to
numtrials
is returned. The probability density function (
) is:
where
n = numtrials
binompdf(
numtrials
,
p
[
,
x
]
)
binomcdf(
binomcdf(
binomcdf(
binomcdf(
binomcdf(
computes a cumulative probability at
x
for the discrete binomial distribution
with the specified
numtrials
and probability of success (
p
) on each trial.
x
can be a real
number or a list of real numbers. 0
p
1 must be true.
numtrials
must be an integer > 0. If
you do not specify
x
, a list of cumulative probabilities is returned.
binomcdf(
numtrials
,
p
[
,
x
]
)
f x
( )
n
x
⎝ ⎠
⎛ ⎞
p
x
1
p
–
(
)
n
x
–
x
,
0,1,...,
n
=
=
Содержание -84 Plus
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Страница 213: ...Chapter 8 Draw Instructions 210...
Страница 248: ...Chapter 10 Matrices 245 row value matrix rowA rowB...
Страница 332: ...Chapter 12 Statistics 329...
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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