Instructions: Reporting on Results of Analysis

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Prepare an 8-10 page analytics report based on the analysis you completed in Assessment 2. In the report, analyze the business issue, summarize the methods you have chosen to analyze the data, create five descriptive statistical techniques, and complete one inferential statistical technique to estimate, test, or predict something.

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Introduction

This portfolio work project continues the work you did in Assessment 2 and demonstrates the knowledge you have gained about descriptive and inferential techniques.

Scenario

Your manager has requested an analysis comparing your state and another state in order to determine the best location for the headquarters of the moving company for which you work.

Your Role

You are an analyst for a moving company. After completing the preliminary work, you must now prepare an analytics report for your manager.

Requirements

Prepare an analytics report of 8–10 pages. Your analytics report should contain the following:

Section I Business Question (or other appropriate heading)
  • Analyze the business question or problem.
    • Explain the business problem your analysis is attempting to address and how it will do so.
Section II Data Analysis Techniques and Methods
  • Summarize the methods you have selected to analyze the data.
    • Be sure to support your selections with examples from previous applications (experience) and your research. You must justify all of your techniques, including the descriptive and inferential techniques, but justifying and supporting descriptive techniques may be as simple as explaining why it is the most appropriate graph, chart, or summary method for your data.
Section III Descriptive Statistical Analysis
  • Using the data set you downloaded in Assessment 2, create 5 descriptive statistical techniques.
    • These may be graphs, charts, or numeric summaries but must be appropriate for the type of data and must assist in addressing the business question or problem.
    • Copy/paste the graphs, charts, or summaries from Excel into your document.
    • Remember that there are different options based on the data type (qualitative versus quantitative data) and that other considerations must be taken when choosing the appropriate descriptive techniques for a particular type of data.
Section IV Inferential Statistical Analysis
  • Use the data set you downloaded to complete one inferential statistical technique to estimate, test, or predict something using the inferential statistical methods you learned in this course.
    • The method you choose should be based on your work in Assessment 2.
    • Support your choice of method using prior analytic project experience and/or your own research.
    • Within this section include:
      • Assumptions: All assumptions required to use the technique you selected should be checked and explained (when there is no way to validate or check that the assumption is met). Any assumptions that may not be met should be included in your cautions and limitations of your analysis.
      • Results: Guidance on when, where, and with whom the results of your analysis should be used should be included in your generalizations section and should be based on the source of the data, data collection methods (if any are provided with your business scenario), and potential issues with how and when the data was collected, recorded, and so on.
      • Conclusions: Your conclusion should restate the business question or problem, identify the methods used (both descriptive and inferential methods), and summarize the results and findings (in business language).
      • Cautions, Limitations: Your cautions and limitations should include any potential issues or limitations in using your analysis due to the assumptions not being met or being minimally met.
      • Generalizations: Your generalizations should include notes about when and how the results of your analysis should and should not be used, specifically focusing on the contents of the data set you have analyzed.

Deliverable Format

The analytics report is a professional document and should therefore follow the corresponding MBA Academic and Professional Document Guidelines, using double-spaced paragraphs. Write for management or other analysts.

You must also include:

  • 8–10 pages in length, not including the title page, references page, or abstract.
  • Title page.
  • Abstract (optional).
  • References page.
  • At least 3 supporting resources.
  • APA-formatted references.
  • Appendices for graphs, charts, and summaries if you prefer, rather than including them in the text of your report.

Evaluation

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies through corresponding scoring guide criteria:

  • Competency 1: Explain how data management techniques and tools are used to support business decisions.
    • Analyze the business question.
    • Explain the results of the analysis and how the analysis addresses the business question.
  • Competency 2: Use analytic and statistical techniques to make meaning of large quantities of data.
    • Summarize the descriptive and inferential statistical techniques used.
    • Create descriptive statistical techniques appropriate for the type of data used.
  • Competency 3: Apply data analytic techniques to make inference about a business need.
    • Complete inferential statistical techniques that are appropriate for the data used and address the business question.
    • Explain any assumptions, cautions, limitations, and generalizations.
  • Competency 4: Present the results of data analysis in clear and meaningful ways to multiple stakeholders.
    • Correctly format citations and references using current APA style.
    • Write content clearly and logically with correct use of grammar, punctuation, and mechanics.

Faculty will use the scoring guide to review your deliverable as if they were your manager. Review the scoring guide prior to developing and submitting your assessment.

Criteria Non-performance Basic Proficient Distinguished
Analyze the business question. Does not analyze the business question. Identifies the business question. Analyzes the business question. Analyzes the business question in a manner that demonstrates a thorough understanding of the business question and the data needed to address it.
Summarize the descriptive and inferential statistical techniques used. Does not summarize the descriptive and inferential statistical techniques used. Identifies the descriptive and inferential statistical techniques used. Summarizes the descriptive and inferential statistical techniques used. Summarizes the descriptive and inferential statistical techniques used and supports selections with examples and other evidence.
Create descriptive statistical techniques appropriate for the type of data used. Does not create descriptive statistical techniques appropriate for the type of data used. Creates descriptive statistical techniques, but the techniques are not appropriate for the type of data used. Creates descriptive statistical techniques appropriate for the type of data used. Creates descriptive statistical techniques appropriate for the type of data used and explains how the techniques will effectively address the business question.
Complete inferential statistical techniques that are appropriate for the data used and address the business question. Does not complete inferential statistical techniques that are appropriate for the data used and address the business question. Completes inferential statistical techniques, but the techniques are not appropriate for the data used and do not address the business question. Completes inferential statistical techniques that are appropriate for the data used and address the business question. Completes inferential statistical techniques that are appropriate for the data used and address the business question. Explains why the techniques are appropriate and supports with relevant evidence.
Explain any assumptions, cautions, limitations, and generalizations. Does not explain any assumptions, cautions, limitations, and generalizations. Identifies assumptions, cautions, limitations, and generalizations. Explains any assumptions, cautions, limitations, and generalizations. Analyzes any assumptions, cautions, limitations, and generalizations.
Explain the results of the analysis and how the analysis addresses the business question. Does not explain the results of the analysis and how the analysis addresses the business question. Explains the results of the analysis but the explanation does not address how the analysis relates to the business question. Explains the results of the analysis and how the analysis addresses the business question. Explains the results of the analysis and how the analysis addresses the business question. Includes a discussion about when, where, and on whom the results should be used.
Correctly format citations and references using current APA style. Does not correctly format citations and references using current APA style. Uses current APA to format citations and references but with numerous errors. Correctly formats citations and references using current APA style with few errors. Correctly formats citations and references using current APA style with no errors.
Write content clearly and logically with correct use of grammar, punctuation, and mechanics. Does not write content clearly, logically, or with correct use of grammar, punctuation, and mechanics. Writes with errors in clarity, logic, grammar, punctuation, and/or mechanics. Writes content clearly and logically with correct use of grammar, punctuation, and mechanics. Writes clearly and logically with correct use of spelling, grammar, punctuation, and mechanics; uses relevant evidence to support a central idea.
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