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