
Results
The results are as follows:
Results Description
Test T T-Test statistic
Test ẋ Value of ẋ associated with the test t-value
P Probability associated with the T-Test statistic
DF Degrees of freedom
Critical T Boundary value(s) of T associated with the α level that you supplied
Critical ẋ Boundary value(s) of ẋ required by the α value that you supplied
Two-Sample T-Test
Menu name
T-Test: μ
1
– μ
2
This test is used when the population standard deviation is not known. On the basis of statistics from two
samples, each sample from a dierent 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, H
0
: μ
1
= μ
2
.
You select one of the following alternative hypotheses against which to test the null hypothesis:
●
H
0
: μ
1
< μ
2
●
H
0
: μ
1
> μ
2
●
H
0
: μ
1
≠ μ
2
Inputs
The inputs are as follows:
Field name Description
ẋ
1
Sample 1 mean
ẋ
2
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 Signicance level
Pooled Select this option to pool samples based on their standard deviations
278 Chapter 13 Inference app
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