Assembly Language Programming: Inferential Statistics and Distribution Functions
13
Tsam2
This two-sample
t
-test, shown as
2-SampTTest
in the editor, tests the equality of the
means of two populations (
m
1
and
m
2
) based on independent samples when
neither population standard deviation (
s
1
or
s
2
) is known. The null hypothesis
H
0
:
m
1
=
m
2
is tested against one of the alternatives below.
¦
H
a
:
m
1
ƒm
2
(
m
1:
ƒm
2)
¦
H
a
:
m
1
<
m
2
(
m
1:<
m
2)
¦
H
a
:
m
1
>
m
2
(
m
1:>
m
2)
In the example:
SAMP1=
{12.207 16.869 25.05 22.429 8.456 10.589}
SAMP2=
{11.074 9.686 12.064 9.351 8.182 6.642}
The pooled option is available for
Tsam2
and
TInt2
only.
No
means that population
variances can be unequal.
Yes
means that population variances are assumed to be
equal.
Data
Stats
$
$
$
$
Input
Calculated
Results
Drawn
Results
