
One-Sample Z-Test
Menu name
Z-Test: 1 μ
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 population mean equals a specied
value, H
0
: μ = μ
0
.
You select one of the following alternative hypotheses against which to test the null hypothesis:
●
H
0
: μ < μ
0
●
H
0
: μ > μ
0
●
H
0
: μ ≠ μ
0
Inputs
The inputs are as follows:
Field name Description
ẋ Sample mean
n Sample size
μ
0
Hypothetical population mean
σ Population standard deviation
α Signicance level
Results
The results are as follows:
Result Description
Test Z Z-test statistic
Test ẋ Value of ẋ associated with the test Z-value
P Probability associated with the Z-Test statistic
Critical Z Boundary value(s) of Z 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 Z-Test
Menu name
Z-Test: μ
1
– μ
2
Hypothesis tests 273
Komentarze do niniejszej Instrukcji