Identify statistical methods to collect data:
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.
Critical Elements Proficient (100%) Needs Improvement (70%) Not Evident (0%) Value
Statistical Methods: Identifies the appropriate Identifies a statistical methods Does not determine statistical 10
Statistical Methods statistical methods used to used to perform statistical methods
perform statistical analysis, analysis but either the
including statistical methods are not the most
assumptions appropriate to use or
discussion lacks statistical
Statistical Methods: Justifies why the methods Justifies why the methods Does not justify why methods 20
Justify Methods chosen are the most chosen are the most were chosen
appropriate for analysis of this appropriate for the analysis
data and includes how these but justification is either
methods would help predict illogical or cursory or does not
the use of the data in driving include how they would help
decisions using cited evidence predict the use of data in
driving decisions or does not
use or provide cited evidence
Data-Driven Outlines the process needed Outlines the process needed Does not outline the process 10
Decisions: to utilize the statistical to utilize the statistical needed to utilize the statistical
Process analysis analysis but steps are either analysis
Data-Driven Explains how data mining is Explains how data mining is Does not offer an explanation 20
Decisions: Data used to develop a solution to used to develop a solution to why data mining is used to
Mining the case, considering concepts the case but explanation does develop a solution in the case
of metadata not consider concepts of
metadata, is inappropriate, or
Data-Driven Explains if the problem is a Explains if the problem is a Does not explain if the 15
Decisions: Structured structured or unstructured structured or unstructured problem is a structured or
vs. Unstructured problem problem but explanation unstructured problem
contains inaccuracies or is
Data-Driven Assesses how the variables Assess how the variables have Does not assess how the 15
Decisions: Variables have potential for answering potential for answering the variables have potential for
the problem problem but assessment answering the problem
contains inaccuracies or is
Articulation of Submission has no major Submission has major errors Submission has critical errors 10
Response errors related to citations, related to citations, grammar, related to citations, grammar,
grammar, spelling, syntax, or spelling, syntax, or spelling, syntax, or
organization organization that negatively organization that prevent
impact readability and understanding of ideas
articulation of main ideas
Earned Total 100%