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Understanding Hypothesis Testing: A Collaborative Learning Experience in HLS Class

In this experiential learning activity, students will work in teams of three to complete the HLS module. Through collaborative discussion, teams will explore key concepts such as identifying alternative and null hypotheses, determining the appropriate statistical test (z or t), and understanding one-tailed vs two-tailed tests. Teams will also outline steps to calculate the test statistic and critical values, use these to make statistical decisions, obtain p-values, and discuss the managerial implications of their findings. This hands-on approach fosters teamwork and deepens comprehension of statistical concepts.

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Understanding Hypothesis Testing: A Collaborative Learning Experience in HLS Class

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  1. Experiential HLS Class Exercise You were asked to Certify on the HLS lesson before class. To do this activity you need to sit in teams of 3 with all of you in the same row so that you can work together on the HLS module in class.

  2. Class Activity • As you work the HLS questions in your team of 3 discuss the following • What wording tells you the alternative and null hypothesis? • What wording tells you the type of statistical test to perform? For example, is a z or t statistic appropriate? • What wording tells you that this is a one or two tail hypothesis test? • What were the steps you used to obtain the calculated value of the test statistic? • What were the steps you used to obtain the critical value of the test statistic? • How do you use the calculated and critical value to make a statistical decision about this test? • How do you obtain the p value for the test statistic? • How do you use the p value and the level of significance to make a statistical decision about this test? • How does the result of your test relate to the statistical significance of your findings? • What managerial implications can you conclude from the results of your test?

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