Texas Instruments TINSPIRE Reference Guide - Page 112

List1, Freq1, Hypoth, Pooled, stat.results, PmtAt, value, Output variable, Description, tTest_2Samp

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Output variable stat.t stat.PVal stat.df stat.x stat.sx stat.n Description (x N m0) / (stdev / sqrt(n)) Smallest level of significance at which the null hypothesis can be rejected Degrees of freedom Sample mean of the data sequence in List Sample standard deviation of the data sequence Size of the sample tTest_2Samp tTest_2Samp List1,List2[,Freq1[,Freq2[,Hypoth[,Pooled]]]] (Data list input) tTest_2Samp v1,sx1,n1,v2,sx2,n2[,Hypoth[,Pooled]] (Summary stats input) Computes a two-sample t test. A summary of results is stored in the stat.results variable. (See page 97.) Test H0: m1 = m2, against one of the following: For Ha: m1< m2, set Hypoth m2, set Hypoth>0 Pooled=1 pools variances Pooled=0 does not pool variances For information on the effect of empty elements in a list, see "Empty (void) elements" on page 131. Output variable stat.t stat.PVal stat.df stat.x1, stat.x2 stat.sx1, stat.sx2 stat.n1, stat.n2 stat.sp Description Standard normal value computed for the difference of means Smallest level of significance at which the null hypothesis can be rejected Degrees of freedom for the t-statistic Sample means of the data sequences in List 1 and List 2 Sample standard deviations of the data sequences in List 1 and List 2 Size of the samples The pooled standard deviation. Calculated when Pooled=1. tvmFV() tvmFV(N,I,PV,Pmt,[PpY],[CpY],[PmtAt]) ⇒ value Financial function that calculates the future value of money. Note: Arguments used in the TVM functions are described in the table of TVM arguments, page 107. See also amortTbl(), page 6. 106 TI-Nspire™ Reference Guide Catalog > Catalog >

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106
TI-Nspire™ Reference Guide
Output variable
Description
stat.t
(
x
N
m
0) / (stdev / sqrt(n))
stat.PVal
Smallest level of significance at which the null hypothesis can be rejected
stat.df
Degrees of freedom
stat.
x
Sample mean of the data sequence in
List
stat.sx
Sample standard deviation of the data sequence
stat.n
Size of the sample
tTest_2Samp
Catalog >
tTest_2Samp
List1
,
List2
[
,
Freq1
[
,
Freq2
[
,
Hypoth
[
,
Pooled
]]]]
(Data list input)
tTest_2Samp
v
1
,
sx1
,
n1
,
v
2
,
sx2
,
n2
[
,
Hypoth
[
,
Pooled
]]
(Summary stats input)
Computes a two-sample
t
test. A summary of results is stored in the
stat.results
variable. (See page 97.)
Test H
0
:
m
1 =
m
2, against one of the following:
For H
a
:
m
1<
m
2, set
Hypoth
<0
For H
a
:
m
1
ƒ
m
2 (default), set
Hypoth
=0
For H
a
:
m
1>
m
2, set
Hypoth
>0
Pooled
=
1
pools variances
Pooled
=
0
does not pool variances
For information on the effect of empty elements in a list, see “Empty
(void) elements” on page 131.
Output variable
Description
stat.t
Standard normal value computed for the difference of means
stat.PVal
Smallest level of significance at which the null hypothesis can be rejected
stat.df
Degrees of freedom for the t-statistic
stat.
x
1, stat.
x
2
Sample means of the data sequences in
List 1
and
List 2
stat.sx1, stat.sx2
Sample standard deviations of the data sequences in
List 1
and
List 2
stat.n1, stat.n2
Size of the samples
stat.sp
The pooled standard deviation. Calculated when
Pooled
=1.
tvmFV()
Catalog >
tvmFV(
N
,
I
,
PV
,
Pmt
,
[
PpY
]
,
[
CpY
]
,
[
PmtAt
]
)
⇒
value
Financial function that calculates the future value of money.
Note:
Arguments used in the TVM functions are described in the
table of TVM arguments, page 107. See also
amortTbl()
, page 6.