06 Feb 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%