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u tCDf
Function: Returns the cumulative probability of a Student-t distribution between a lower
bound and an upper bound.
Syntax: tCDf(lower value, upper value,
df [ ) ]
Example: To determine the Student-
t distribution probability when lower value = 1.5,
upper value = ∞, df = 18
Menu Item: [Action][Distribution][tCDf]
For more information, see “Student-
t Cumulative Distribution” on page 7-11-7.
u invTCDf
Function: Returns the lower bound value of a Student-t cumulative distribution probability
for specified values.
Syntax: invTCDf(
prob, df [ ) ]
Example: To determine the lower bound value when
prob = 0.0754752, df = 18
Menu Item: [Action][Inv. Distribution][invTCDf]
For more information, see “Inverse Student-
t Cumulative Distribution” on page 7-11-8.
u chiPDf
Function: Returns the χ
2
probability density for specified values.
Syntax: chiPDf(
x, df [ ) ]
Example: To determine the χ
2
probability density when x = 2, df = 4
Menu Item: [Action][Distribution][chiPDf]
For more information, see “
Ƶ
2
Probability Density” on page 7-11-9.
u chiCDf
Function: Returns the cumulative probability of a χ
2
distribution between a lower bound
and an upper bound.
Syntax: chiCDf(lower value, upper value,
df [ ) ]
Example: To determine the χ
2
probability when lower value = 2.7, upper value = ∞, df =4
Menu Item: [Action][Distribution][chiCDf]
For more information, see “χ
2
Cumulative Distribution” on page 7-11-10.
u invChiCDf
Function: Returns the lower bound value of a χ
2
cumulative distribution probability for
specified values.
Syntax: invChiCDf(
prob, df [ ) ]
Example: To determine the lower bound value when
prob = 0.6092146, df = 4
2-8-51
Using the Action Menu