Casio ClassPad II fx-CP400 User Manual
Page 85
Chapter 2: Main Application
85
u chiCDf [Action][Distribution/Inv.Dist][Continuous][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
[ ) ]
Calculation Result Output:
prob
Example: To determine the
χ
2
probability when lower value = 2.7,
upper value =
∞
,
df
= 4
u invChiCDf [Action][Distribution/Inv.Dist][Inverse][invChiCDf]
Function: Returns the lower bound value of a
χ
2
cumulative distribution probability for specified values.
Syntax: invChiCDf(
prob
,
df
[ ) ]
Calculation Result Output:
x
Inv
Example: To determine the lower bound value when
prob
= 0.6092146,
df
= 4
u fPDf [Action][Distribution/Inv.Dist][Continuous][fPDf]
Function: Returns the
F
probability density for a specified value.
Syntax: fPDf(
x
,
n
:
df
,
d
:
df
[ ) ]
Calculation Result Output:
prob
Example: To determine the
F
probability density when
x
= 1.5,
n
:
df
= 24,
d
:
df
= 19
u fCDf [Action][Distribution/Inv.Dist][Continuous][fCDf]
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
[ ) ]
Calculation Result Output:
prob
Example: To determine the
F
distribution probability when lower value = 1.5,
upper value =
∞
,
n
:
df
= 24,
d
:
df
= 19
u invFCDf [Action][Distribution/Inv.Dist][Inverse][invFCDf]
Function: Returns the lower bound value of an
F
cumulative distribution probability for specified values.
Syntax: invFCDf(
prob
,
n
:
df
,
d
:
df
[ ) ]
Calculation Result Output:
x
Inv
Example: To determine the lower bound value when
prob
= 0.1852,
n
:
df
= 24,
d
:
df
= 19
u binomialPDf [Action][Distribution/Inv.Dist][Discrete][binomialPDf]
Function: Returns the probability in a binomial distribution that the success will occur on a specified trial.
Syntax: binomialPDf(
x
, numtrial value,
pos
[ ) ]
Calculation Result Output:
prob
Example: To determine the binomial probability when
x
= 5, numtrial value = 3,
pos
= 0.63