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, µ1- µ2, 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, p1-p2, 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, µ1- µ2, for small samples with unknown population variances.
Try the following exercise:
Example 1 – For µ0 = 150, σ = 10, x = 158, n = 50, for α = 0.05, test the hypothesis H0: µ = µ0, against the alternative hypothesis, H1: µ ≠ µ0.
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:
Page 16-10
