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Using the Action Menu

The calculation results of invGeoCDf 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 = 0.875, pos = 0.5

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

For more information, see “Inverse Geometric Cumulative Distribution” on page 7-11-22.

uhypergeoPDf

Function: Returns the probability in a hypergeometric distribution that the success will occur on a specified trial.

Syntax: hypergeoPDf(x, n, M, N [ ) ]

Example: Determine the hypergeometric probability when x = 1, n = 5, M = 10, N = 20.

Menu Item: [Action][Distribution][hypergeoPDf]

For more information, see “Hypergeometric Distribution Probability” on page 7-11-23.

uhypergeoCDf

Function: Returns the cumulative probability in a hypergeometric distribution that the success will occur between specified lower value and upper value.

Syntax: hypergeoCDf(lower value, upper value, n, M, N [ ) ]

Example: Determine the hypergeometric cumulative distribution when lower value = 0, upper value = 1, n = 5, M = 10, N = 20.

Menu Item: [Action][Distribution][hypergeoCDf]

For more information, see “Hypergeometric Cumulative Distribution” on page 7-11-24.

uinvHypergeoCDf

Function: Returns the minimum number of trials of a hypergeometric cumulative distribution for specified values.

Syntax: invHypergeoCDf(prob, n, M, N [ ) ]

Important!

When executing the invHypergeoCDf function the calculator uses the specified prob value and the value that is one less the prob value minimum number of significant digits (*prob value) to calculate minimum number of trials values. The results are assigned to the system variables xInv (calculation result using prob) and *xInv (calculation result using *prob). The invHypergeoCDf function always returns the xInv value only. However, when the xInv and *xInv values are different, the warning message shown below appears showing both values.

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