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Using the Action Menu

Menu Item: [Action][Inv. Distribution][invChiCDf]

For more information, see “Inverse Χ2 Cumulative Distribution” on page 7-11-10.

SfPDf

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.

SfCDf

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 = δ, n:df = 24, d:df = 19

Menu Item: [Action][Distribution][fCDf]

For more information, see “F Cumulative Distribution” on page 7-11-12.

SinvFCDf

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.

SbinomialPDf

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.

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