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u invFCDf [Action][Distribution/Inv.Dist][Inverse][invFCDf]
Function: Returns the lower bound value of an
prob
Syntax: invFCDf(
Calculation Result Output:
Example: To determine the lower bound value when
d
:
df
= 19
u binomialPDf [Action][Distribution/Inv.Dist][Discrete][binomialPDf]
Function: Returns the probability in a binomial distribution that the success will occur on a specified trial.
Syntax: binomialPDf(
Calculation Result Output:
Example: To determine the binomial probability when
pos
= 0.63
u binomialCDf [Action][Distribution/Inv.Dist][Discrete][binomialCDf]
Function: Returns the cumulative probability in a binomial distribution that the success will occur between
specified lower value and upper value.
Syntax: binomialCDf(lower value, upper value, numtrial value,
Calculation Result Output:
Example: To determine the binomial cumulative probability when lower value
= 2, upper value = 5, numtrial value = 3,
u invBinomialCDf [Action][Distribution/Inv.Dist][Inverse][invBinomialCDf]
Function: Returns the minimum number of trials of a binomial cumulative probability distribution for specified
values.
Syntax: invBinomialCDf(
Calculation Result Output:
Important!
When executing the invBinomialCDf, invPoissonCDf, invGeoCDf, or
invHypergeoCDf function, the ClassPad uses the specified
the value that is one less the
prob
(½
value) to calculate minimum number of trials values. The results
are assigned to the system variables
and ½
(calculation result using ½
xInv
xInv
value only. However, when the
warning message shown nearby appears showing both values.
The calculation results of the function are integers. Accuracy may be reduced
when the first argument has 10 or more digits. Note that even a slight difference in calculation accuracy
affects calculation results. If a warning message appears, check the displayed values.
Example: To determine the minimum number of trials when
numtrial value = 5,
u poissonPDf [Action][Distribution/Inv.Dist][Discrete][poissonPDf]
Function: Returns the probability in a Poisson distribution that the success will occur on a specified trial.
x
Syntax: poissonPDf(
Calculation Result Output:
Example: To determine the Poisson probability when
n
df
d
df
,
:
,
:
[ ) ]
x
Inv
x
pos
, numtrial value,
[ ) ]
prob
prob
prob
, numtrial value,
Inv, ½
x
x
Inv
prob
value minimum number of significant digits
xInv
(calculation result using
prob
). The function always returns the
and ½
xInv
pos
= 0.63
,
[ ) ]
prob
F
cumulative distribution probability for specified values.
prob
= 0.1852,
x
= 5, numtrial value = 3,
pos
[ ) ]
pos
= 0.63
pos
[ ) ]
prob
value and
prob
xInv
values are different, the
prob
= 0.609,
x
= 10,
= 6
n
df
:
= 24,
)
Chapter 2: Main Application 88
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