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%
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