Professor provided an example found online regarding Oil changes completed in 30 minutes or less.
The Descriptive Statistics analysis
***additional excel results found in attachment under course content
Next, we need to compare the z test statistic of -3.5874 to the critical value of -1.645. Because our test statistic is smaller than the critical value and, therefore falls into the rejection region, we reject the null hypothesis in favor of the alternative hypothesis.
C. Interpreting the Results of the Test
As the manager of Speedy Oil Change, you were asked to investigate the customer complaints that oil changes at Speedy Oil Change take more than 30 minutes on average. You formulated a hypothesis, defined a significance level, determined the appropriate test statistic and rejection region, and then performed the hypothesis test. The results of the test indicate that the null hypothesis should be rejected in favor of the alternative. The null hypothesis is that the mean oil change time is more than 30 minutes. Because this hypothesis is rejected, you can report to upper-level management that with 95% confidence [100(1 – significance level)] the mean oil change time is less than 30 minutes.
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