# Statistical Analysis Report

QSO 510 Milestone Two Guidelines and Rubric The final project for this course is the creation of a statistical analysis report. Each day, management professionals are faced with multiple decisions affecting various aspects of the operation. The ability to use data to drive decisions is an essential skill that is useful in any facet of an operation. The dynamic environment offers daily challenges that require the talents of the operations manager; working in this field is exciting and rewarding. In Module Seven, you will submit your selection of statistical tools and data analysis, which are critical elements III and IV of your final project. You will submit a 3- to 4-page paper and a spreadsheet that provides justification for the appropriate statistical tools needed to analyze the company’s data. Specifically, the following critical elements must be addressed:

III. Identify statistical methods to collect data: A. Identify the appropriate statistical methods that you will use to perform your analysis. What are your statistical assumptions concerning the

data that led you to selecting the methods? In other words, why did you select this method for statistical analysis? B. Justify why you chose these methods to analyze the data. Be sure to include how these methods will help predict the use of the data in driving

decisions using cited evidence.

IV. Data-Driven Decisions to determine the appropriate decision for the identified problem: A. Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem. B. Explain how data mining is used to develop a solution to the case. In your response, consider the concepts of metadata. C. Explain if the problem is a structured or unstructured problem. D. Assess how the variables have potential for answering the problem.

Guidelines for Submission: Your paper must be submitted as a 3- to 4-page Microsoft Word document and attached spreadsheet with double spacing, 12-point Times New Roman font, one-inch margins, and at least six sources cited in APA format.

Rubric Critical Elements Proficient (100%) Needs Improvement (70%) Not Evident (0%) Value

Statistical Methods: Statistical Methods

Identifies the appropriate statistical methods used to perform statistical analysis, including statistical assumptions

Identifies a statistical methods used to perform statistical analysis but either the methods are not the most appropriate to use or discussion lacks statistical assumptions

Does not determine statistical methods

10

Statistical Methods: Justify Methods

Justifies why the methods chosen are the most appropriate for analysis of this data and includes how these methods would help predict the use of the data in driving decisions using cited evidence

Justifies why the methods chosen are the most appropriate for the analysis but justification is either illogical or cursory or does not include how they would help predict the use of data in driving decisions or does not use or provide cited evidence

Does not justify why methods were chosen

20

Data-Driven Decisions:

Process

Outlines the process needed to utilize the statistical analysis

Outlines the process needed to utilize the statistical analysis but steps are either inappropriate or overgeneralized

Does not outline the process needed to utilize the statistical analysis

10

Data-Driven Decisions: Data

Mining

Explains how data mining is used to develop a solution to the case, considering concepts of metadata

Explains how data mining is used to develop a solution to the case but explanation does not consider concepts of metadata, is inappropriate, or cursory

Does not offer an explanation why data mining is used to develop a solution in the case

20

Data-Driven Decisions: Structured

vs. Unstructured

Explains if the problem is a structured or unstructured problem

Explains if the problem is a structured or unstructured problem but explanation contains inaccuracies or is cursory

Does not explain if the problem is a structured or unstructured problem

15

Data-Driven Decisions: Variables

Assesses how the variables have potential for answering the problem

Assess how the variables have potential for answering the problem but assessment contains inaccuracies or is cursory

Does not assess how the variables have potential for answering the problem

15

Articulation of Response

Submission has no major errors related to citations, grammar, spelling, syntax, or organization

Submission has major errors related to citations, grammar, spelling, syntax, or organization that negatively impact readability and articulation of main ideas

Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas

10

Earned Total 100%