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The results from our sample data looked like this: Minitab displays the calculated values in the Session window. Click Ok in the Options dialog and Ok in the main dialog. In this case, Minitab will calculate values for a one-tail test.ĥ. If H 1 states that the mean is strictly less than or strictly greater than the historical value, select less than or greater than.Minitab will make calculations for a two-tail test. If H 1 states that the mean is not equal to the historical value, select not equal.The testing alternative is where you specify the testing condition of the alternative hypothesis. Click the Options button and enter the confidence level ((1-&alpha)x100) and select a testing "alternative". In the test mean box, enter the historical value for the mean, which in our case is 45.Ĥ. In the dialog box, select the column that has your sample data and click the select button so it appears in the "Samples in columns" box. Since we don't know the standard deviation of the population, we choose the "1-sample t" test.ģ. Since we're doing hypothesis testing of the mean, we have 2 choices from the menu. Select Stat - Basic Statistics from the menu bar. (In lecture 7, we used the data in the insurance.mtw worksheet from exercise 9.59.)Ģ. Load up your data in a Minitab worksheet. You will also need to draw your own conclusions from the calculations that Minitab performs.ġ. You still need to do all the study design in steps 1-3 and use them as input to Minitab. Minitab can be used to perform some of the calculations that are required in steps 4 and 5 of the critical value approach and step 4 of the p-value approach to hypothesis testing (see previous 2 posts). Using Minitab to Calculate Hypothesis Testing Statistics