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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
Press ‚Ù—— @@@OK@@@ to access the confidence interval feature in the
calculator. Press @@@OK@@@ to select option 1. Z-Test: 1 .
Enter the following data and press @@@OK@@@:
You are then asked to select the alternative hypothesis:
= 10, x = 158, n = 50, for
= 0.05, test the
:
.
1
0
Page 16-10

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