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Casio ClassPad II fx-CP400 User Manual

Page 84

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Chapter 2: Main Application

  84

• “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.

Calculation Result Output:

x

1

InvN,

x

2

InvN

Example: To determine the upper bound value when tail setting = Left, area

value = 0.7,

σ = 2, μ = 35

u tPDf [Action][Distribution/Inv.Dist][Continuous][tPDf]

Function: Returns the Student’s

t

probability density for a specified value.

Syntax: tPDf(

x

,

df

[ ) ]

Calculation Result Output:

prob

Example: To determine the Student’s

t

probability density when

x

= 2,

df

= 5

u tCDf [Action][Distribution/Inv.Dist][Continuous][tCDf]

Function: Returns the cumulative probability of a Student’s

t

distribution between a lower bound and an upper

bound.

Syntax: tCDf(lower value, upper value,

df

[ ) ]

Calculation Result Output:

prob

,

t

Low,

t

Up

Example: To determine the Student’s

t

distribution probability when

lower value = 1.5, upper value =

,

df

= 18

u invTCDf [Action][Distribution/Inv.Dist][Inverse][invTCDf]

Function: Returns the lower bound value of a Student’s

t

cumulative distribution probability for specified

values.

Syntax: invTCDf(

prob

,

df

[ ) ]

Calculation Result Output:

x

Inv

Example: To determine the lower bound value when

prob

= 0.0754752,

df

= 18

u chiPDf [Action][Distribution/Inv.Dist][Continuous][chiPDf]

Function: Returns the

χ

2

probability density for specified values.

Syntax: chiPDf(

x

,

df

[ ) ]

Calculation Result Output:

prob

Example: To determine the

χ

2

probability density when

x

= 2,

df

= 4