Part 1: Using the preliminary data collected in the Topic 2 assignment, complete two hypothesis tests relevant to the specific requirements of your scenario. To ensure tests are not duplicated, collaborate with the other members of your group to identify specifically which data each person in the group will be utilizing in the hypothesis tests. For example, if you are comparing sports teams, one member of the group might compare the Tigers and the Rams, while another member of the group might compare the Sharks and the Eagles.
Using Excel, complete the two hypothesis tests using different data sets at a .05 level of significance. Generate a box plot for each test. The accuracy of formulas and the box plot visuals will be assessed.
Part 2:
Statistical analysis can create a number of ethical challenges. Review the "Ethical Guidelines for Statistical Practice, "Statement on the Integration of Faith and Work," and the servant leadership and conscious capitalism study materials. Consider the principle of "do no harm" and how, through application of a Christian worldview perspective, ethical challenges related to sampling methods, treatment of outliers, selection of levels, or significance can be anticipated and addressed to ensure that statistical analysis is completed effectively, efficiently, and ethically. Provide a 750-1,000 summary of the hypothesis tests and ethical issues related to statistical analysis. The summary should address the following: EN
1. Summary of the business scenario.
2. Definition of the variables and sources.
3. Rationale for the type of hypothesis tests used |
4. Null and alternative hypothesis.
5. Two hypothesis tests with results that include test statistic, critical value(s), and p-valu 32
6. Box plot visuals for each hypothesis test,
7. Interpretation of the statistical results of the hypothesis tests.
8. Discussion of potential ethical dilemmas associated with each hypothesis test, including explanation of how the principle of "do no harm and a Christian worldview perspective could be applied to ensure the statistical analysis was completed ethically include discussion of how sampling methods, treatment of outliers, selection of levels, or significance, etc. should be addressed for ethical compliance. -
9. Summary of the hypothesis testing results and how these can be applied to the specified business scenario.