Texas Instruments TINSPIRE Reference Guide - Page 21

stat.ExpMat, Degrees of freedom for the chi square statistics

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centralDiff( ) centralDiff(Expr1,Var [=Value][,Step]) ⇒ expression centralDiff(Expr1,Var [,Step])|Var=Value ⇒ expression centralDiff(Expr1,Var [=Value][,List]) ⇒ list centralDiff(List1,Var [=Value][,Step]) ⇒ list centralDiff(Matrix1,Var [=Value][,Step]) ⇒ matrix Returns the numerical derivative using the central difference quotient formula. When Value is specified, it overrides any prior variable assignment or any current "with" substitution for the variable. Step is the step value. If Step is omitted, it defaults to 0.001. When using List1 or Matrix1, the operation gets mapped across the values in the list or across the matrix elements. Note: See also avgRC(). char( ) char(Integer) ⇒ character Returns a character string containing the character numbered Integer from the handheld character set. The valid range for Integer is 0- 65535. c22way c22way obsMatrix chi22way obsMatrix Computes a c2 test for association on the two-way table of counts in the observed matrix obsMatrix. A summary of results is stored in the stat.results variable. (See page 97.) For information on the effect of empty elements in a matrix, see "Empty (void) elements" on page 131. Output variable stat.c2 stat.PVal stat.df stat.ExpMat stat.CompMat Description Chi square stat: sum (observed - expected)2/expected Smallest level of significance at which the null hypothesis can be rejected Degrees of freedom for the chi square statistics Matrix of expected elemental count table, assuming null hypothesis Matrix of elemental chi square statistic contributions Catalog > Catalog > Catalog > TI-Nspire™ Reference Guide 15

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TI-Nspire™ Reference Guide
15
centralDiff()
Catalog >
centralDiff(
Expr1
,
Var
[
=Value
][
,
Step
]
)
⇒
expression
centralDiff(
Expr1
,
Var
[
,
Step
]
)|
Var=Value
⇒
expression
centralDiff(
Expr1
,
Var
[
=Value
][
,
List
]
)
⇒
list
centralDiff(
List1
,
Var
[
=Value
][
,
Step
]
)
⇒
list
centralDiff(
Matrix1
,
Var
[
=Value
][
,
Step
]
)
⇒
matrix
Returns the numerical derivative using the central difference quotient
formula.
When
Value
is specified, it overrides any prior variable assignment or
any current “with” substitution for the variable.
Step
is the step value. If
Step
is omitted, it defaults to 0.001.
When using
List1
or
Matrix1
, the operation gets mapped across the
values in the list or across the matrix elements.
Note:
See also
avgRC()
.
char()
Catalog >
char(
Integer
)
⇒
character
Returns a character string containing the character numbered
Integer
from the handheld character set. The valid range for
Integer
is 0–
65535.
c
2
2way
Catalog >
c
2
2way
obsMatrix
chi22way
obsMatrix
Computes a
c
2
test for association on the two-way table of counts in
the observed matrix
obsMatrix
. A summary of results is stored in the
stat.results
variable. (See page 97.)
For information on the effect of empty elements in a matrix, see
“Empty (void) elements” on page 131.
Output variable
Description
stat.
c
2
Chi square stat: sum (observed - expected)
2
/expected
stat.PVal
Smallest level of significance at which the null hypothesis can be rejected
stat.df
Degrees of freedom for the chi square statistics
stat.ExpMat
Matrix of expected elemental count table, assuming null hypothesis
stat.CompMat
Matrix of elemental chi square statistic contributions