HP 49g+ User Manual page 167

1. Z-Test: 1 .: Single sample hypothesis testing for the population mean, ,
with known population variance, or for large samples with unknown
population variance.
2. Z-Test: .: Hypothesis testing for the difference of the population
means, - , with either known population variances, or for large
1 2
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 p .: Hypothesis testing for the difference of two proportions,
p -p , for large samples with unknown population variances.
1 2
5. T-Test: 1 .: Single sample hypothesis testing for the population mean, ,
for small samples with unknown population variance.
6. T-Test: .: Hypothesis testing for the difference of the population
means, - , for small samples with unknown population variances.
1 2
Try the following exercise:
Example 1 – For = 150,
0
hypothesis H : = , against the alternative hypothesis, H
0 0
‚ Ù — —
Press
calculator. Press
@ @ @ O K @ @ @
Enter the following data and press
You are then asked to select the alternative hypothesis:
= 10, x = 158, n = 50, for
to access the confidence interval feature in the
@ @ @ O K @ @ @
to select option 1. Z-Test: 1 .
:
@ @ @ O K @ @ @
= 0.05, test the
: .
1 0
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