Eco 510 Milestone Three Guidelines And Rubric

Eco 510 Milestone Three Guidelines And Rubricin Milestone Three You M

In Milestone Three, you must use Minitab to conduct your analysis of the statistical tests you have identified here. If you have not done so already, download the application and take the Minitab Quality Trainer, available hero. Register for an account to utilize this training resource. Minitab is a Windows-only program. If you have a Mac, you can access Minitab using SNHU's virtual desktop infrastructure (VDI).

Click hOI(, for instructions to download the VDI. Additional resources and tutorials can be found at the end of the Final Project Guidelines and Rubric document. For this milestone, submit a draft of your analysis as outlined in the Final Project Guidelines and Rubric document. Create a draft of the graphs, summaries, and tables developed in the Analysis critical element. You will be evaluated on your correct use of Minitab in performing the analysis.

This analysis will be incorporated into your final project. Specifically, the following critical element must be addressed: IV. Analysis. Conduct your tests. Use Minitab to perform the statistical tests and to generate the graphs.

Refer to Minitab's user guide for instructions on how to perform the statistical tests. Additional Minitab tutorials are listed in the resources section at the bottom of this document. A. Test your hypotheses with the appropriate statistics. B. Provide a simple linear regression or a multiple regression model. e. Provide summaries of the statistical tests, tables of statistical results (generated by Minitab), and graphs. D. Discuss the correlation and causal relations between the variables in your tests. Deliverables: Create a draft of the graphs, summaries, and tables. You will be evaluated on the correct use of Minitab in performing the statistical tests. The results and analysis will be incorporated into your final paper. Guidelines for Submission: Your paper must be submitted as a three- to four-page Microsoft Word document with double spacing, 12-point Times New Roman font, one-inch margins, and at least three sources cited in APA format. Instructor Feedback: This activity uses an integrated rubric in Blackboard. Students can view instructor feedback in the Grade Center. For more information, review 11 If" ',p In ,,1 f uc Iions. Critical Elements Proficient (100) Needs Improvement (75) Not Evident (0) Value Data Analysis: Uses Minitab to perform the statistical Uses Minitab to perform the statistical Statistical tests are not produced or 20 Graphs tests and generate graphs using tests and to generate graphs but does Minitab is not used appropriate statistics to provide a not use appropriate statistics, or does simple linear regression or a multiple not provide a simple linear regression or regression model a multiple regression model Data Analysis: Includes an appropriate set of charts, Includes incoherent or unrelated charts, Does not include supporting charts, 20 Tables graphs, and tables that directly support graphs, or tables graphs, or tables I the statistical analysis of the test Data Analysis: Provides a summary accurately Provides an incomplete summary or Does not provide a summary and 20 I I Summary interpreting the results of the statistical errors in interpretation of test results analysis ! tests (tables and graphs) are present I Data Analysis: Discusses the correlation and causal Briefly discusses the correlation and Does not discuss the correlation and 20 Correlation and relations between the variables in the causal relations between the variables i Relations tests in the tests but requires more detail and in the tests additional scholarly support Articulation of Submission has no major errors related Submission has major errors related to Submission has critical errors related to 20 Response to citations, grammar, spelling, syntax, citations, grammar, spelling, syntax, or citations, grammar, spelling, syntax, or or organization organization that negatively impact organization that prevent understanding readability and articulation of main of ideas ideas Earned Total 100 Categories

Paper For Above instruction

In this Milestone Three of the Eco 510 course, the focus is on applying statistical analysis techniques using Minitab to evaluate hypotheses and model relationships among variables. The primary objective is to demonstrate proficiency in conducting statistical tests, generating visual representations, and interpreting results to inform economic and business decision-making. This milestone lays the foundational analysis that will be integrated into the final project, emphasizing proper application of Minitab tools, thorough interpretation, and clear articulation of findings.

The first step involves familiarizing oneself with Minitab, a vital statistical software tool for this assignment. Since Minitab is Windows-only, Mac users are advised to utilize SNHU's virtual desktop infrastructure (VDI) to access the software. Resources such as the Minitab Quality Trainer provide essential training to develop proficiency. The assignment requires conducting various tests—hypothesis testing, simple linear regression, or multiple regression—depending on the research questions identified earlier in the project. All tests must be performed accurately in Minitab, with results displayed in tables and graphs generated within the software.

Hypothesis testing forms the core of analysis, which involves selecting appropriate statistical tests, such as t-tests, ANOVA, or chi-square tests, based on the data type and research questions. The analysis should include detailed summaries of the statistical results, with clear tables showcasing the test statistics, p-values, degrees of freedom, and confidence intervals. Graphical presentations such as scatter plots, residual plots, and histograms should complement the tabular data, providing visual insights into the relationships and distribution patterns of the variables.

Building regression models is equally critical. Depending on the nature of the data, either simple linear regression or multiple regression models will be constructed to quantify relationships between independent and dependent variables. These models should be accompanied by interpretive summaries explaining the significance of the coefficients, the overall fit (R-squared), and the statistical significance (p-values). The regression analysis helps elucidate the strength and nature of the correlated relationships, facilitating inferences about causal effects or associations between variables.

Furthermore, the discussion must address both the correlation and potential causal relations. Correlation coefficients (e.g., Pearson's r) need to be interpreted to determine the degree of association, while causality should be discussed cautiously, acknowledging that correlation does not necessarily imply causation. Scholarly support should be integrated to substantiate interpretations, referencing relevant academic sources and statistical principles.

The final deliverable is a draft document formatted according to APA standards, spanning three to four pages with double spacing, 12-point Times New Roman font, and one-inch margins. The draft should include well-organized sections: introduction, methodology, results, discussion, and conclusion. Visuals—graphs, charts, and tables—must be correctly labeled and referenced within the text. Clarity and precision in articulation are critical, as instructor feedback will guide revisions for the final submission.

In conclusion, Milestone Three emphasizes the correct application of Minitab for statistical testing and modeling, thorough interpretation of results, and clear communication of analytic findings. Mastery of these skills is essential for informed decision-making in economic contexts and forms a foundation for the comprehensive final project. Attention to detail, adherence to APA formatting, and scholarly rigor in discussion are necessary to excel in this milestone.

References

• Montgomery, D. C., & Runger, G. C. (2014). Applied statistics and probability for engineers (6th ed.). Wiley.
• Finch, S. (2019). Minitab: Statistical analysis and quality improvement. Minitab Inc.
• Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications.
• Veall, M. (2019). Regression analysis. In M. Allen (Ed.), The SAGE encyclopedia of communication research methods (pp. 711-714). SAGE Publications.
• Zar, J. H. (2010). Biostatistical analysis (5th ed.). Pearson.
• Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
• Field, A. (2018). An R and SPSS guide to regression analysis. SAGE Publications.
• Chatterjee, S., & Hadi, A. S. (2015). Regression analysis by example. Wiley.
• Taylor, J. R. (1997). An introduction to error analysis: The study of uncertainties in physical measurements. University Science Books.
• Wasserman, L. (2004). All of statistics: A concise course in statistical inference. Springer.