HP 49g+ User Manual
Page 167
Page 16-10
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 exercise:
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 confidence interval 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: