2.Z-Test: ∝1−∝2.: Hypothesis testing for the difference of the population means, ∝1- ∝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, p1-p2, for large samples with unknown population variances.
5.T-Test: 1 ∝.: Single sample hypothesis testing for the population mean, ∝, for small samples with unknown population variance.
6.T-Test: ∝1−∝2.: Hypothesis testing for the difference of the population means, ∝1- ∝2, for small samples with unknown population variances.
Example 1 – For ∝0 = 150, σ = 10, ⎯x = 158, n = 50, for α = 0.05, test the hypothesis H0: ∝ = ∝0, against the alternative hypothesis, H1: ∝ ≠ ∝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:
Select ∝ ≠ 150. Then, press @@@OK@@@. The result is:
