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Insert Title Here
Insert Your Name Here
Insert University Here
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Literature Review
Include the literature review information here. Important Note: Students should refer to
the information presented in the Unit I Study Guide and the Unit I Syllabus instructions to
complete this section of the project. Delete this before you begin.
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References
Include references here using hanging indentations. Remember to remove this information.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed
methods approaches (5th ed.). Thousand Oaks, CA: Sage.
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Insert Title Here
Insert Your Name Here
Insert University Here
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Sun Coast Remediation Course Project Guidance
Background
To help make a connection between business research and its use in the real world, this course
will use an iterative course project. Throughout the term, you will serve as the health and safety
director for Sun Coast Remediation (Sun Coast).
Sun Coast provides remediation services to business and governmental organizations. Most of
their contracts involve working within contamination sites where they remove toxic substances
from soil and water. In addition to the toxicity of the air, water, and soil their employees come
into contact with, the work environment is physically demanding and potentially contributory to
injuries involving musculoskeletal systems, vision, and hearing. Sun Coast genuinely cares about
the health, safety, and well-being of their 5,500 employees, but they are also concerned about
worker compensation costs and potential long-term litigation from injuries and illness related to
employment.
Health and Safety Director Task
Sun Coast hired you last month to replace the previous health and safety director, who left to
pursue other opportunities. This is a critical position within the company because there are many
health and safety-related issues due to the nature of the work. The former health and safety
director was in the midst of analyzing these issues through the implementation of a research
project when she left the organization.
Throughout the term, you will use your knowledge of research methods to bring the research
project to fruition. You will conduct a literature review, develop research questions and
hypotheses, create the research design, test data, interpret data, and present the findings. Each
unit will accomplish one of these tasks. It has already been decided that the business problems
will be best addressed using a quantitative research methodology. You will not collect any data
for this project. The former health and safety director had already collected the data, which is
provided for you in an Excel spreadsheet.
Statistical Tools
You will conduct the data analysis using Microsoft Excel Toolpak. View these links for
information: https://support.office.com/en-us/article/load-the-analysis-toolpak-in-excel6a63e598-cd6d-42e3-9317-6b40ba1a66b4 and https://www.excel-easy.com/dataanalysis/analysis-toolpak.html
Sun Coast Remediation Course Project Sections
Since this is a quantitative research study, there are specific steps that should be followed. The
following is a template that will help you develop your project. (It is also provided as a template
in Unit VII.) Use this information to guide your completion of the course project.
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Table of Contents
Include the table of contents here. There is a tool for creating a table of contents in the
References tab of the Microsoft Word tool bar at the top of the screen. Remember to delete this
text and the instructions from the previous page before you begin.
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Executive Summary
The executive summary will go here. The paragraphs are not indented, and it should be
formatted like an abstract. The executive summary should be composed after the project is
complete. It will be the final step in the project. Delete this text before you begin.
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Sun Coast Remediation Course Project
Introduction
Note: The following introduction should remain in the research project unchanged.
Delete this note before you begin.
Senior leadership at Sun Coast has identified several areas for concern that they believe
could be solved using business research methods. The previous director was tasked with
conducting research to help provide information to make decisions about these issues. Although
data were collected, the project was never completed. Senior leadership is interested in seeing the
project through to fruition. The following is the completion of that project and includes the
statement of the problems, literature review, research objectives, research questions and
hypotheses, research methodology, design, and methods, data analysis, findings, and
recommendations.
Statement of the Problems
Note: The following statement of the problems should remain in the research project
unchanged. Delete this note before you begin.
Six business problems were identified:
Particulate Matter (PM)
There is a concern that job-site particle pollution is adversely impacting employee health.
Although respirators are required in certain environments, PM varies in size depending on the
project and job site. PM that is between 10 and 2.5 microns can float in the air for minutes to
hours (e.g., asbestos, mold spores, pollen, cement dust, fly ash), while PM that is less than 2.5
microns can float in the air for hours to weeks (e.g. bacteria, viruses, oil smoke, smog, soot). Due
to the smaller size of PM that is less than 2.5 microns, it is potentially more harmful than PM
that is between 10 and 2.5 since the conditions are more suitable for inhalation. PM that is less
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than 2.5 is also able to be inhaled into the deeper regions of the lungs, potentially causing more
deleterious health effects. It would be helpful to understand if there is a relationship between PM
size and employee health. PM air quality data have been collected from 103 job sites, which is
recorded in microns. Data are also available for average annual sick days per employee per jobsite.
Safety Training Effectiveness
Health and safety training is conducted for each new contract that is awarded to Sun
Coast. Data for training expenditures and lost-time hours were collected from 223 contracts. It
would be valuable to know if training has been successful in reducing lost-time hours and, if so,
how to predict lost-time hours from training expenditures.
Sound-Level Exposure
Sun Coast’s contracts generally involve work in noisy environments due to a variety of
heavy equipment being used for both remediation and the clients’ ongoing operations on the job
sites. Standard ear-plugs are adequate to protect employee hearing if the decibel levels are less
than 120 decibels (dB). For environments with noise levels exceeding 120 dB, more advanced
and expensive hearing protection is required, such as earmuffs. Historical data have been
collected from 1,503 contracts for several variables that are believed to contribute to excessive
dB levels. It would be important if these data could be used to predict the dB levels of work
environments before placing employees on-site for future contracts. This would help the safety
department plan for procurement of appropriate ear protection for employees.
New Employee Training
All new Sun Coast employees participate in general health and safety training. The
training program was revamped and implemented six months ago. Upon completion of the
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training programs, the employees are tested on their knowledge. Test data are available for two
groups: Group A employees who participated in the prior training program and Group B
employees who participated in the revised training program. It is necessary to know if the revised
training program is more effective than the prior training program.
Lead Exposure
Employees working on job sites to remediate lead must be monitored. Lead levels in
blood are measured as micrograms of lead per deciliter of blood (μg/dL). A baseline blood test is
taken pre-exposure and postexposure at the conclusion of the remediation. Data are available for
49 employees who recently concluded a 2-year lead remediation project. It is necessary to
determine if blood lead levels have increased.
Return on Investment
Sun Coast offers four lines of service to their customers, including air monitoring, soil
remediation, water reclamation, and health and safety training. Sun Coast would like to know if
each line of service offers the same return on investment. Return on investment data are available
for air monitoring, soil remediation, water reclamation, and health and safety training projects. If
return on investment is not the same for all lines of service, it would be helpful to know where
differences exist.
Literature Review
After providing a brief introduction to this section, students should include the literature
review information here. Important Note: Students should refer to the information presented in
the Unit I Study Guide and the Unit I Syllabus instructions to complete this section of the
project. Delete this before you begin.
Research Objectives
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After providing a brief introduction to this section, students should include research
objectives here. Students should compose short, direct statements about the objectives of the
study. Research objectives should relate to the problems that have been identified above, and
there should be one objective for each problem as shown in the example below. Important Note:
Students should refer to the information presented in the Unit II Syllabus instructions to
complete this section of the project. Delete this before you begin.
Example:
RO1: Determine if a person’s height is related to weight.
RO2:
RO3:
RO4:
RO5:
RO6:
Research Questions and Hypotheses
After providing a brief introduction to this section, students should state the research
questions and hypotheses. Each research objective should have a corresponding research
question and a null and alternative hypothesis as shown in the example below. In total, there
should be six research questions and twelve hypotheses. Important Note: Students should refer to
the information presented in the Unit II Study Guide and the Unit II Syllabus instructions to
complete this section of the project. Delete this before you begin.
Example:
RQ1: Is there a relationship between height and weight?
H01: There is no statistically significant relationship between height and weight.
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HA1: There is a statistically significant relationship between height and weight.
RQ2:
H02:
HA2:
RQ3:
H03:
HA3:
RQ4:
H04:
HA4:
RQ5:
H05:
HA5:
RQ6:
H06:
HA6:
Research Methodology, Design, and Methods
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After providing a brief introduction to this section, students should detail the research
design they have selected and why it is an appropriate research approach for addressing the
business problems. Use the following subheadings to include all required information. Important
Note: Students should refer to the information presented in the Unit III Study Guide and the Unit
III Syllabus instructions to complete this section of the project. Delete this before you begin.
Research Methodology
Explain the research methodology chosen for this research project and provide rationale
for why it is appropriate given the problems.
Research Design
Students should explain whether the research design is exploratory, causal, or descriptive.
Provide rationale for the choice.
Research Methods
Students should describe the research methods used for this research study based on the
research methodology, research design, and research questions, and provide a rationale as to why
they were chosen. They might include a combination of experimentation, descriptive statistics,
correlation, and causal-comparative methods.
Data Collection Methods
Students should specify how the data were most likely collected to test the hypotheses.
Data collection methods include, but are not limited to, survey, observation, and records analysis.
Sampling Design
Students should briefly describe the type of sampling design that was most likely used for
the data that were collected. Choices include, but are not limited to, random sample, convenience
sample, etc. Explain your rationale for your sampling design selection(s).
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Data Analysis Procedures
Students should specify the statistical procedures used to test each set of hypotheses from
among correlation, regression, t test, and ANOVA. They should explain why each procedure was
the most appropriate choice.
Example:
Correlation is the preferred procedure to use to test the RQ1 hypotheses since the interest
is whether a relationship exists between an independent variable (IV) and dependent variable
(DV). Correlation will indicate if there is a relationship between height (IV) and weight (DV),
the strength of the relationship, and the direction of the relationship.
Data Analysis: Descriptive Statistics and Assumption Testing
After providing a brief introduction to this section, students should provide the Excel
Toolpak results of their descriptive analyses. Frequency tables, histograms, and descriptive
statistics tables should be cut and pasted from Excel directly into the final project document.
Important Note: Students should refer to the information presented in the Unit IV Study Guide
and the Unit IV Syllabus instructions to complete this section of the project. Delete this before
you begin.
Correlation: Descriptive Statistics and Assumption Testing
Students should include this information here. Include frequency table, histogram, and
descriptive statistics table. Evaluate and discuss the descriptive statistics and make an explicit
statement about whether the assumptions for parametric statistical testing were met or not met.
Delete these statements before you begin.
Simple Regression: Descriptive Statistics and Assumption Testing
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Students should include this information here. Include frequency table, histogram, and
descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit
statement about whether the assumptions for parametric statistical testing were met or not met.
Delete these statements before you begin.
Multiple Regression: Descriptive Statistics and Assumption Testing
Students should include this information here. Include frequency table, histogram, and
descriptive statistics table. Evaluate and discuss the descriptive statistics and make an explicit
statement about whether the assumptions for parametric statistical testing were met or not met.
Delete these statements before you begin.
Independent Samples t Test: Descriptive Statistics and Assumption Testing
Students should include this information here. Include frequency table, histogram, and
descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit
statement about whether the assumptions for parametric statistical testing were met or not met.
Delete these statements before you begin.
Dependent Samples (Paired-Samples) t Test: Descriptive Statistics and Assumption Testing
Students should include this information here. Include frequency table, histogram, and
descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit
statement about whether the assumptions for parametric statistical testing were met or not met.
Delete these statements before you begin.
ANOVA: Descriptive Statistics and Assumption Testing
Students should include this information here. Include frequency table, histogram, and
descriptive statistics table. Evaluate and discuss the descriptive statistics, and make an explicit
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statement about whether the assumptions for parametric statistical testing were met or not met.
Delete these statements before you begin
Data Analysis: Hypothesis Testing
After providing a brief introduction to this section, students should provide the Excel
Toolpak results of their hypothesis testing. The statistical output tables should be cut and pasted
from Excel directly into the final project document. For the regression hypotheses, the students
should display and discuss the predictive regression equations. Important Note: Students should
refer to the information presented in the Units V and VI Study Guides and the Units V and VI
Syllabus instructions to complete this section of the project. Delete this before you begin.
Correlation: Hypothesis Testing
Students should include this information here. Restate the null and alternative
hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in
relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these
statements before you begin.
Simple Regression: Hypothesis Testing
Students should include this information here. Restate the null and alternative
hypotheses, cut and paste the statistical output from Excel Toolpak, and interpret and explain the
simple regression analysis results below the Excel output. Your explanation should include:
multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative
hypotheses for the model, statistical significance of the x variable coefficient, and the regression
model as an equation with explanation. Delete these statements before you begin.
Multiple Regression: Hypothesis Testing
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Students should include this information here. Restate the null and alternative
hypotheses, cut and paste the statistical output from Excel Toolpak, and interpret and explain the
simple regression analysis results below the Excel output. Your explanation should include:
multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative
hypotheses for the model, statistical significance of the x variable coefficients, and the regression
model as an equation with explanation.
Independent Samples t Test: Hypothesis Testing
Students should include this information here. Restate the null and alternative
hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in
relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these
statements before you begin.
Dependent Samples (Paired Samples) t Test: Hypothesis Testing
Students should include this information here. Restate the null and alternative
hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in
relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these
statements before you begin.
ANOVA: Hypothesis Testing
Students should include this information here. Restate the null and alternative
hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p-value in
relation to alpha and explicitly accept or reject the null and alternative hypotheses. Delete these
statements before you begin.
Findings
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After providing a brief introduction to this section, students should discuss the findings in
the context of Sun Coast’s problems and the associated research objectives and research
questions. Important Note: Students should refer to the information presented in the Unit VII
Study Guide and the Unit VII Syllabus instructions to complete this section of the project.
Restate each research objective, and discuss them in the context of your hypothesis testing
results. The following are some things to consider. What answers did the analysis provide to
your research questions? What do those answers tell you? What are the implications of those
answers? Delete these statements before you begin.
Example:
RO1: Determine if a person’s height is related to weight.
The results of the statistical testing showed that a person’s height is related to their
weight. It is a relatively strong and positive relationship between height and weight. We would,
therefore, expect to see in our population taller people having a greater weight relative to those
of shorter people. This determination suggests restrictions on industrial equipment should be
stated in maximum pounds allowed rather than maximum number of people allowed.
RO2:
RO3:
RO4:
RO5:
RO6:
Recommendations
After providing a brief introduction to this section, students should include
recommendations here in paragraph form. This section should be your professional thoughts
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based upon the results of the hypothesis testing. You are the researcher, and Sun Coast's
leadership team is relying on you to make evidence-based recommendations. Delete these
statements before you begin.
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References
Include references here using hanging indentations, and delete these statements and example
reference.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed
methods approaches (5th ed.). Thousand Oaks, CA: Sage.
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