Texas Instruments NS/CLM/1L1/B Reference Guide - Page 91

Hypoth, stat.results, List1, List2, Freq1, Freq2, Pooled, List 1, List 2

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tTest tTest m0,List[,Freq[,Hypoth]] (Data list input) tTest m0,x,sx,n,[Hypoth] (Summary stats input) Performs a hypothesis test for a single unknown population mean m when the population standard deviation s is unknown. A summary of results is stored in the stat.results variable. (See page 76.) Test H0: m = m0, against one of the following: Hypoth < 0 for Ha: m < m0 Hypoth = 0 for Ha: m ƒ m0 (default) Hypoth > 0 for Ha: m > m0 Output variable stat.t stat.PVal stat.df stat.x stat.sx stat.n Description (x N m0) / (stdev / sqrt(n)) Least probability 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 76.) Test H0: m1 = m2, against one of the following: Hypoth < 0 for Ha: m1 < m2 Hypoth = 0 for Ha: m1 ƒ m2 (default) Hypoth > 0 for Ha: m1 > m2 Pooled=1 pools variances Pooled=0 does not pool variances Output variable stat.t stat.PVal stat.df stat.x1, stat.x2 Description Standard normal value computed for the difference of means. Least probability 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. TI-Nspire™ Reference Guide Catalog > Catalog > 85

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TI-Nspire™ Reference Guide
85
tTest
Catalog >
tTest
m
0
,
List
[
,
Freq
[
,
Hypoth
]]
(Data list input)
tTest
m
0
,
x
,
sx
,
n
,
[
Hypoth
]
(Summary stats input)
Performs a hypothesis test for a single unknown population mean
m
when the population standard deviation
s
is unknown. A summary of
results is stored in the
stat.results
variable. (See page 76.)
Test H0:
m
=
m
0, against one of the following:
Hypoth
< 0
for Ha:
m
<
m
0
Hypoth
= 0
for Ha:
m
ƒ
m
0
(default)
Hypoth
> 0
for Ha:
m
>
m
0
Output variable
Description
stat.t
(
x
N
m
0) / (stdev / sqrt(n))
stat.PVal
Least probability 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 76.)
Test H0:
m
1 =
m
2, against one of the following:
Hypoth
< 0
for Ha:
m
1 <
m
2
Hypoth
= 0
for Ha:
m
1
ƒ
m
2 (default)
Hypoth
> 0
for Ha:
m
1 >
m
2
Pooled
=
1
pools variances
Pooled
=
0
does not pool variances
Output variable
Description
stat.t
Standard normal value computed for the difference of means.
stat.PVal
Least probability 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
.