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Using the Action Menu
Menu Item: [Action][Inv. Distribution][invChiCDf]
For more information, see “Inverse C
2
Cumulative Distribution” on page 7-11-10.
S fPDf
Function: Returns the F probability density for a specified value.
Syntax: fPDf(
x, n:df, d:df [ ) ]
Example: To determine the
F probability density when x = 1.5, n:df = 24, d:df = 19
Menu Item: [Action][Distribution][fPDf]
For more information, see “
F Probability Density” on page 7-11-11.
S fCDf
Function: Returns the cumulative probability of an F distribution between a lower bound
and an upper bound.
Syntax: fCDf(lower value, upper value,
n:df, d:df [ ) ]
Example: To determine the
F distribution probability when lower value = 1.5, upper
value = d, n:df = 24, d:df = 19
Menu Item: [Action][Distribution][fCDf]
For more information, see “
F Cumulative Distribution” on page 7-11-12.
S invFCDf
Function: Returns the lower bound value of an F cumulative distribution probability for
specified values.
Syntax: invFCDf(
prob, n:df, d:df [ ) ]
Example: To determine the lower bound value when
prob = 0.1852, n:df = 24, d:df = 19
Menu Item: [Action][Inv. Distribution][invFCDf]
For more information, see “Inverse
F Cumulative Distribution” on page 7-11-13.
S binomialPDf
Function: Returns the probability in a binomial distribution that the success will occur on
a specified trial.
Syntax: binomialPDf(
x, numtrial value, pos [ ) ]
Example: To determine the binomial probability when
x = 5, numtrial value = 3,
pos = 0.63
Menu Item: [Action][Distribution][binomialPDf]
For more information, see “Binomial Distribution Probability” on page 7-11-14.