Chapter 2: Main Application  88
u invFCDf [Action][Distribution/Inv.Dist][Inverse][invFCDf]
Function: Returns the lower bound value of an F cumulative distribution probability for specified values.
Syntax: invFCDf(
prob , n : df , d : df [ ) ]
Calculation Result Output:
x Inv
Example: To determine the lower bound value when
prob = 0.1852, n : df = 24,
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(
x , numtrial value, pos [ ) ]
Calculation Result Output:
prob
Example: To determine the binomial probability when x = 5, numtrial value = 3,
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,
pos [ ) ]
Calculation Result Output:
prob
Example: To determine the binomial cumulative probability when lower value
= 2, upper value = 5, numtrial value = 3, pos = 0.63
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(
prob , numtrial value, pos [ ) ]
Calculation Result Output:
x Inv, ½ x Inv
Important!
When executing the invBinomialCDf, invPoissonCDf, invGeoCDf, or
invHypergeoCDf function, the ClassPad uses the specified prob value and
the value that is one less the prob value minimum number of significant digits
(½ prob value) to calculate minimum number of trials values. The results
are assigned to the system variables xInv (calculation result using prob )
and ½ xInv (calculation result using ½ prob ). The function always returns the
xInv value only. However, when the xInv and ½ xInv values are different, 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
prob = 0.609,
numtrial value = 5, pos = 0.63
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.
Syntax: poissonPDf(
x ,  [ ) ]
Calculation Result Output: prob
Example: To determine the Poisson probability when x = 10,  = 6
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