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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: 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.
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: