HP Prime - Page 249

Inference app 245
Results The results are:
Two-Sample Z-Test
Menu name Z-Test: 
1
– 
2
On the basis of two samples, each from a separate
population, this test measures the strength of the evidence
for a selected hypothesis against the null hypothesis. The
null hypothesis is that the means of the two populations
are equal, 
0
: 
1
= 
2
.
You select one of the following alternative hypotheses to
test against the null hypothesis:
H
0
: 
1
< 
2
H
0
: 
1
> 
2
H
0
: 
1
≠ 
2
Inputs The inputs are:
Result Description
Test Z Z-test statistic
Test Value of associated with the
test Z-value
P Probability associated with the
Z-Test statistic
Critical Z Boundary value(s) of Z
associated with the  level that
you supplied
Critical Boundary value(s) of required
by the  value that you supplied
x
x
x
x
Field name Definition
Sample 1 mean
Sample 2 mean
n
1
Sample 1 size
n
2
Sample 2 size

1
Population 1 standard deviation

2
Population 2 standard deviation
 Significance level
x
1
x
2