112
Inference app
Two-Sample T-Test
Menu name
T-Test:
μ
1
–
μ
2
The Two-sample T-Test is used when the population
standard deviation is not known. On the basis of statistics
from two samples, each sample from a different
population, this test measures the strength of the evidence
for a selected hypothesis against the null hypothesis. The
null hypothesis is that the two populations means are
equal,
Η
0
:
μ
1
=
μ
2
.
You select one of the following alternative hypotheses
against which to test the null hypothesis
Inputs
The inputs are:
Critical T
Boundary value(s) of T
associated with the
α
level that
you supplied.
Critical
Boundary value(s) of
required by the
α
value that you
supplied.
Result
Description
x
x
H
1
:
μ
1
μ
2
<
H
1
:
μ
1
μ
2
>
H
1
:
μ
1
μ
2
≠
Field
name
Definition
Sample 1 mean.
Sample 2 mean.
s
1
Sample 1 standard deviation.
s
2
Sample 2 standard deviation.
n
1
Sample 1 size.
n
2
Sample 2 size.
α
Significance level.
x
1
x
2
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