QNT561 Statistical Report

timer Asked: Feb 4th, 2019
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Question Description

This signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignments might be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements.

Purpose of Assignment

The purpose of this assignment is for students to synthesize the concepts learned throughout the course. This assignment will provide students an opportunity to build critical thinking skills, develop businesses and organizations, and solve problems requiring data by compiling all pertinent information into one report.

Assignment Steps

Resources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential Statistics

Scenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze one of the following databases:

  • Manufacturing
  • Hospital
  • Consumer Food
  • Financial

Select one of the databases based on the information in the Signature Assignment Options.

Provide a 1,600-word detailed, statistical report including the following:

  • Explain the context of the case
  • Provide a research foundation for the topic
  • Present graphs
  • Explain outliers
  • Prepare calculations
  • Conduct hypotheses tests
  • Discuss inferences you have made from the results

This assignment is broken down into four parts:

  • Part 1 - Preliminary Analysis
  • Part 2 - Examination of Descriptive Statistics
  • Part 3 - Examination of Inferential Statistics
  • Part 4 - Conclusion/Recommendations

Part 1 - Preliminary Analysis (3-4 paragraphs)

Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.

State the objective:

  • What are the questions you are trying to address?

Describe the population in the study clearly and in sufficient detail:

  • What is the sample?

Discuss the types of data and variables:

  • Are the data quantitative or qualitative?
  • What are levels of measurement for the data?

Part 2 - Descriptive Statistics (3-4 paragraphs)

Examine the given data.

Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).

Identify any outliers in the data.

Present any graphs or charts you think are appropriate for the data.

Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations.

Part 3 - Inferential Statistics (2-3 paragraphs)

Use the Part 3: Inferential Statistics document.

  • Create (formulate) hypotheses
  • Run formal hypothesis tests
  • Make decisions. Your decisions should be stated in non-technical terms.

Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient.

Part 4 - Conclusion and Recommendations (1-2 paragraphs)

Include the following:

  • What are your conclusions?
  • What do you infer from the statistical analysis?
  • State the interpretations in non-technical terms. What information might lead to a different conclusion?
  • Are there any variables missing?
  • What additional information would be valuable to help draw a more certain conclusion?

Format your assignment consistent with APA format.

Tutor Answer

School: Purdue University

See attached:)



Statistical report



A. Preliminary analysis
The report provides statistical evaluation of the manufacturing industries in the United States as
contained in the manufacturing database. The database comprises data from various
manufacturers including the food products, textile mill products, chemicals, transportation
equipment, industrial machinery, furniture, primary metals, and rubber products. The report tries
to answer the research questions below;
a. Is the typical number of industry employees lower than 150?
b. Is there a statistically substantial difference between the average value added by a
Manufacturer and the average cost of materials for the manufacturers?
c. Is the variance for the cost of materials substantially bigger than the variance of the data
points of End of Year Inventory?
Notably, the report draws from a data sample of 140 records obtained randomly from 20
different industry groups in the US. The data is assembled into 6 variables comprising of the
number of production workers, the cost of materials, the number of employees, the industry
group, the value added by the manufacturers, and the end year inventory. The values for the cost
of materials, the value added by the manufacturers, and the end year inventory are expressed in
million dollars. On the other hand, the number of employees and the production workers are
expressed in thousands. The data set contains 20 industry group represented by values from 1 to
Data types



The database embodies qualitative and quantitative variables. The number of employees,
the number of production workers, the end year inventory, the cost of materials, and the value
added by the manufacturers per industry are all quantitative variables which can be subjected
through mathematical manipulation whilst the industry group is merely categorical in nature and
as such, it is a qualitative variable.
Levels of measurements
The data variables for the manufacturing database e...

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