
Using the Action Menu
unormCDf
Function: Returns the cumulative probability of a normal distribution between a lower bound and an upper bound.
Syntax: normCDf (lower value, upper value[,σ , μ)]
• When σ and μ are skipped, σ = 1 and μ = 0 are used.
Example: To determine the normal probability density when lower bound value = −∞, upper bound value = 36, σ = 2, μ = 35
Menu Item: [Action][Distribution][normCDf]
For more information, see “Normal Cumulative Distribution” on page
uinvNormCDf
Function: Returns the boundary value(s) of a normal cumulative distribution probability for specified values.
Syntax: invNormCDf ([tail setting, ]area value[,σ , μ)]
•When σ and μ are skipped, σ = 1 and μ = 0 are used.
•“tail setting” displays the probability value tail specification, and Left, Right, or Center can be specified. Enter the following values or letters to specify:
Left: | −1, “L”, or “l” |
Center: | 0, “C”, or “c” |
Right: | 1, “R”, or “r” |
When input is skipped, “Left” is used.
•When one argument is omitted (resulting in three arguments), Tail=Left.
•When two arguments are omitted (resulting in two arguments), Tail=Left, μ =0.
• When three arguments are omitted (resulting in one argument), Tail=Left, σ =1, μ =0.
• When “tail setting” is Center, the lower bound value is returned.
Example: To determine the upper bound value when tail setting = Left, area value = 0.7,
σ= 2, μ = 35
Menu Item: [Action][Distribution][invNormCDf]
For more information, see “Inverse Normal Cumulative Distribution” on page
utPDf
Function: Returns the
Syntax: tPDf (x, df [ ) ]
Example: To determine the
Menu Item: [Action][Distribution][tPDf]
For more information, see
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