HP 50G, User Manual

Page: 611 / 887

Page 18-44
1. Z-Test: 1
μ
.: Single sample hypothesis testing for the population mean,
μ
,
with known population variance, or for large samples with unknown
population variance.
2. Z-Test:
μ1−μ2
.: Hypothesis testing for the difference of the population
means,
μ
1
-
μ
2
, with either known population variances, or for large
samples with unknown population variances.
3. Z-Test: 1 p.: Single sample hypothesis testing for the proportion, p, for
large samples with unknown population variance.
4. Z-Test: p
1−
p
2
.: Hypothesis testing for the difference of two proportions, p
1
-
p
2
, for large samples with unknown population variances.
5. T-Test: 1
μ
.: Single sample hypothesis testing for the population mean,
μ
,
for small samples with unknown population variance.
6. T-Test:
μ1−μ2
.: Hypothesis testing for the difference of the population
means,
μ
1
-
μ
2
, for small samples with unknown population variances.
Try the following exercises:
Example 1 – For
μ
0
= 150,
σ
= 10,
⎯
x = 158, n = 50, for
α
= 0.05, test the
hypothesis H
0
:
μ
=
μ
0
, against the alternative hypothesis, H
1
:
μ ≠ μ
0
.
Press
‚Ù—— @@@OK@@@
to access the hypothesis testing feature in the
calculator. Press
@@@OK@@@
to select option 1. Z-Test: 1
μ
.
Enter the following data and press
@@@OK@@@
:
You are then asked to select the alternative hypothesis. Select
μ ≠
150, and
press
@@OK@@
. The result is: