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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: p1− p2.: 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.
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:
Select µ ≠ 150. Then, press @@@OK@@@. The result is:
SG49A.book Page 10 Friday, September 16, 2005 1:31 PM