hp40g+.book Page 12 Friday, December 9, 2005 1:03 AM
Inputs
Results
One-Sample T-Test
Menu name
11-12
The inputs are:
Field name
Definition
X1
Sample 1 mean.
X2
Sample 2 mean.
n1
Sample 1 size.
n2
Sample 2 size.
α
Significance level.
The results are:
Result
Description
Test π1–π2
Difference between the
proportions of successes in the
two samples.
Test Z
Z-Test statistic.
Prob
Probability associated with the
Z-Test statistic.
Critical Z
Boundary values of Z
associated with the α level that
you supplied.
T-Test: 1 μ
The One-sample T-Test is used when the population
standard deviation is not known. On the basis of statistics
from a single sample, this test measures the strength of the
evidence for a selected hypothesis against the null
hypothesis. The null hypothesis is that the sample mean
has some assumed value,
Η
:μ = μ
0
0
You select one of the following alternative hypotheses
against which to test the null hypothesis:
H
H
H
μ
:μ
<
1
0
μ
:μ
>
1
0
:μ μ
≠
1
0
Inference aplet