## Description

**About Your Signature Assignment**

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:

**Manufactoring**- 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.

**Click **the Assignment Files tab to submit your assignment.

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## Explanation & Answer

See attached:)

Running head: STATISTICAL REPORT

1

Statistical report

Name

Institution

Date

STATISTICAL REPORT

2

A. Preliminary analysis

This paper presents a statistical analysis of the Manufacturing database. The database contains

data for several US industries including the textile mill products, food products, furniture, rubber

products, industrial machinery, primary metals, chemicals, and transportation equipment. The

paper attempts to address the following research questions;

a. Is the average number of employees per industry less than 150?

b. Is there a significant difference between mean Value Added by the Manufacturer and the

mean Cost of Materials in manufacturing?

c. Is the variance for the cost of materials significantly greater than the variance for End of

year inventories?

Sample

Markedly, the report gyrates around a data sample of 140 random observations drawn

from 20 industry groups in the United States. The data is grouped into 6 independent variables

including the number of employees, the value added by the manufacturer, the number of

production workers, and the cost of materials, industry group, and the end of year inventory. The

value added by the manufacturers, the cost of materials, and the end year inventories are given in

million dollars whilst the number of production works and the number of employees is given in

thousands. There are 20 industry groups with each group given a code ranging from 1 to 20.

Data types

The manufacturing database contains both quantitative and qualitative data variables. The

number of production worker per industry, the number of employees, the cost of materials...