HP 39GS hp 39gs_user's guide_English_E_HDPMG39AE13.pdf - Page 132
Hypothesis tests, One-Sample Z-Test
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Hypothesis tests You use hypothesis tests to test the validity of hypotheses that relate to the statistical parameters of one or two populations. The tests are based on statistics of samples of the populations. The HP 39gs hypothesis tests use the Normal Z-distribution or Student's t-distribution to calculate probabilities. One-Sample Z-Test Menu name Inputs Z-Test: 1 μ On the basis of statistics from a single sample, the One-Sample Z-Test measures the strength of the evidence for a selected hypothesis against the null hypothesis. The null hypothesis is that the population mean equals a specified value Η0: μ = μ0. You select one of the following alternative hypotheses against which to test the null hypothesis: H1:μ1 < μ2 H1:μ1 > μ2 H1:μ1 ≠ μ2 The inputs are: Field name x n μ0 σ α Definition Sample mean. Sample size. Hypothetical population mean. Population standard deviation. Significance level. 11-8 Inference aplet