Analysis of Health and Safety Maintenance at Sun Coast Remediation

This report presents a comprehensive analysis of health and safety concerns at Sun Coast Remediation, focusing on various aspects of employee well-being and operational efficiency. The analysis covers six key problem areas: particulate matter exposure, safety training effectiveness, sound-level exposure, new employee training, lead exposure, and return on investment across different service lines. The research employs a range of statistical methods, including descriptive statistics, correlation analysis, regression analysis (simple and multiple), t-tests (independent and dependent samples), and ANOVA, to evaluate the relationships between different variables and test hypotheses. The report includes a literature review to provide context and background, as well as a detailed methodology section outlining the research design, data collection methods, and data analysis procedures. The findings are presented, followed by specific recommendations to address the identified issues and improve health and safety practices within the company. The report aims to provide senior leadership with actionable insights to enhance employee safety, reduce worker compensation costs, and mitigate potential long-term litigation.

Running head: ANALYSIS 1
Health and Safety Maintenance Analysis
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ANALYSIS 2
Table of Contents
Executive Summary.....................................................................................................................................3
Introduction.................................................................................................................................................4
Statement of the Problems.........................................................................................................................5
Particulate Matter (PM)...........................................................................................................................5
Safety Training Effectiveness...................................................................................................................5
Sound-Level Exposure.............................................................................................................................6
New Employee Training...........................................................................................................................6
Lead Exposure.........................................................................................................................................6
Return on Investment..............................................................................................................................7
Literature Review........................................................................................................................................7
Research Objectives....................................................................................................................................8
Research Questions and Hypotheses..........................................................................................................9
Research Methodology, Design, and Methods..........................................................................................10
Research Methodology..........................................................................................................................11
Research Design....................................................................................................................................11
Research Methods.................................................................................................................................12
Data Collection Methods...........................................................................................................................12
Sampling Design........................................................................................................................................12
Data Analysis Procedures..........................................................................................................................13
Data Analysis: Descriptive Statistics and Assumption Testing...................................................................14
Correlation: Descriptive Statistics and Assumption Testing...................................................................14
Simple Regression: Descriptive Statistics and Assumption Testing........................................................15
Multiple Regression: Descriptive Statistics and Assumption Testing.....................................................15
Independent Samples t Test: Descriptive Statistics and Assumption Testing........................................17
Dependent Samples (Paired-Samples) t Test: Descriptive Statistics and Assumption Testing...............17
ANOVA: Descriptive Statistics and Assumption Testing.........................................................................18
Data Analysis: Hypothesis Testing.............................................................................................................18
Correlation: Hypothesis Testing.............................................................................................................18
Simple Regression: Hypothesis Testing..................................................................................................18
Multiple Regression: Hypothesis Testing...............................................................................................19
Independent Samples t Test: Hypothesis Testing..................................................................................19
Dependent Samples (Paired Samples) t Test: Hypothesis Testing.........................................................19

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ANOVA: Hypothesis Testing...................................................................................................................19
Findings.....................................................................................................................................................19
Recommendations.....................................................................................................................................20
References.................................................................................................................................................21

ANALYSIS 4
Executive Summary
Before getting to the actual background of the company, there needs to be the actual
understanding on what the whole report will have to carry. As the health and the safety director
of the Sun Coast Remediation company, there will be the requirement of me to conduct analysis
on the dataset that is supposed to be collected on matters health and safety of the employees of
the same company. The company is health related as it involves specific radiation activities that
actually have the actual removal of toxic substances from water as well as soil. So for this fact
the employees come into contact with toxic air and water and all that and therefore in the long
run implicate their visions, hearing capabilities and all. To aid prevent these, there will be data
collected on all the 5500 workers that are involved in the organization and all that be used to
draw different inferences that range from ANOVA tests to t-tests, hypothesis tests, regression
analyses as well as correlation analysis. After the inferences aw drawn, since all that will be
considered will be revolving around, compensation training time, returns and health effects to the
employees, there will be the understanding on how to handle different employees after all the
results that will have been deduced in the long run. Later on there will be a report developed on
all the needed analytical results that will have been developed through excel data analysis tool
Pak.

ANALYSIS 5
Introduction
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.
Senior leadership as it stands is logically responsible for the safety of all its employees
and for this fact requires that the desires and the welfare of all the employees if its firm is well
taken care of. Looking at the nature of the firm, there needed to be an understanding of what
exactly the environment the workers were working in looked like (Bielinis et al. 2020). This is
clearly spelt out by doing analysis on particulate matter, safety training effectiveness, sound level
exposure, new employee training, lead exposure and return on investment. All the effects that all
these have and the reason for looking into them have all been discussed in the subsections that
will have to follow afterwards (AYADI, 2019).
All companies and not only this one are required to have analytical tabs and knowledge
on matters that affect their employees. This is because, when matters that are of great effect are
known numerically, then definitely, quantitative measures can be planned and executed in the
long run hence making sure that all the interest of employees as well as of the organization are
taken into consideration in all (Dawod & Abdel-Aziz, 2020). In as much as the employees are
always taken into consideration ethically, by most employers, it is very important to note the fact
that employers by default, put the business or the company forward and the actual returns that
there can be realized over time (Bynigeri et al. 2020). The employees therefore, are in all well
taken care of as they are the only ones that will have or help the involved company reach its said

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potential. This is the reason for all the hustle revolving the safeness of all the said employees that
a company might have in a specific time (Bebic, Stazic & Komar, 2019).
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
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
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 job-
site (Do, 2019).
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

ANALYSIS 7
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 (Do, 2019). 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 (Guerrero,
2019).
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
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 (Laugerman & Saunders,
2019).

ANALYSIS 8
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 post-exposure 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 (Li et al. 2019).
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
Business research analytics has been there for the longest and the name has changed over
time from market research analytics to business analytics and now to data science which largely
involves visualizations and all. Looking at this research study, there is a need for there to be an
analysis of all the dataset that was collected by an earlier health and safety director that left to go
and chase other occupational dreams (Fatima, Shahzadi & Shah, 2020). The datasets that were
collected in the long run were inclusive of all the subsections that have been discussed in the
earlier sub-sections. Like in each and every company, when a role is vacant, especially a role that
drives most of the decisions that are made in an organization, there will always be the need for
the that role to be active to help continue the drive that comes from that role as far as decisions

ANALYSIS 9
that are made are concerned. For this reason, I was employed to have a look into the datasets that
had been formulated but had not been analyzed, this therefore would later aid in the categorical
decision making when looking at how the health of employees are affected as well as how the
determining the return on investments that are to be involved and realized (Fragala-Pinkham et
al. 2020).
The above paragraph has given the pronunciation and the listings of what are needed to
be done for this research project. This section though is a literature review and for this fact there
will be a requirement of the topics and different scenarios of business analytics research to be
discussed in depth in this case. Research analytics covers a broad area and is inclusive of market
research, operations research as well as industry research. A market researcher in most cases is
tasked with the duty of studying the market in a bid of helping the organizations understand what
type of products or organizations are required by the market (Hassan et al. 2020). An operations
research analyst on the other hand, studies all the processes that there are in a business and looks
for the relevant means to improve them if by any chance they are not at all in anyway improved
and are lagging behind when it comes to the production as well as the actualization of the said
activities (Ho et al. 2020). For this case, my work in this area will be more of a looking at the
aspects of the functions that are there in an organization and what needs to and what needs not to
be improved in the long run. that is why there needs to be an analysis of all the dataset that were
collected by the predecessor. Industry researchers on the other hand, as the name suggests work
for specific industries and these include banks amongst others and they largely only tend to look
at trends after which they advise accordingly (Linnes et al. 2019).

ANALYSIS 10
Research Objectives
Research objectives, looking at the name and what suggests only describes what to expect in the
whole study and research. Where there are no hypotheses, the objectives can be directed as
sentences which will then serve as statements of objectives. On others cases, the statement of
objective is usually linked with hypothesis. The objective statements are usually being made to
be the simplest statements in the long run and this is because a researcher might be addressing a
layman (Young et al. 2020). The fact that the layman is incorporated, higher considerations are
required to aid in the actual connotation and the understanding of other people who might be
having shallower understanding of what is being pursued. In this case, there will be the health
and safety manager addressing the top management and therefore by all means will be required
to have a use of the simplest words that can be understood by the top management as they are not
in a highly specialized zone as the health and safety manager who actually will be involved with
the analysis of datasets and the actual interpretation of the deduced results (Savolainen, 2019).
In this case the objectives that were listed as below;
RO1: To Determine the relationship between particulate matter sizes and the employees’ health.
RO2: To determine the success of training by reducing the lost time in hours.
RO3: To plan the appropriate ear protection for employees by determining sound level exposure
in the environment of work.
RO4: To determine the effectiveness of revised training to prior training in the long run.
RO5: To determine if blood lead levels have gone up are bound to go up by the environment in
which students work in.
RO6: To determine the return on investment on all the services that are conducted by the
company as well as the differences degrees if there are any.

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Research Questions and Hypotheses
The research questions that will be developed in this case are those questions that will be set out
to be answered in this case and therefore will be set out to be answered both qualitatively as well
as quantitatively. Because of this, data will be collected and be analyzed
RQ1: What is the relationship between particulate matter and the employees’ health?
H01: There is a no positive relationship between the particulate matter and the employees’ health.
HA1: There exists a positive relationship between the particulate matter and health of the
employees.
RQ2: Will there be success on training when lost time is hours is reduced?
H02: There is definitely going to be a success on training when the lost time in hours is reduced.
HA2: There is never going to be a success on training when the lost time is hours is reduced.
RQ3: Will there be appropriate protection for different levels of sound?
H03: There are appropriate protection levels for different sound levels.
HA3: There are no appropriate protection levels for different sound levels.
RQ4: Will there be effectiveness of revised training over prior training in the long run?
H04: There will be no effectiveness of revised training over prior training.
HA4: There will be effectiveness of revised training over prior training.
RQ5: Are the environments that students work in making blood levels to go up?
H05: Blood levels will definitely rise by the environment in which students work in.

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HA5: There is a definite bound of the blood levels dropping as per the environment in which
students work in.
RQ6: Are there positive return on investments as well as significant differences?
H06: There are no positive return on investments and no significant differences.
HA6: There are positive return on investments and significant differences.
Research Methodology, Design, and Methods
Research methodology are the procedures and techniques that actually get to identify a
whole group, select samples of interest, process the selected samples that have been selected to
put them in a better way that can be analyzed and therefore finally analyze the well planned
dataset. In this place we will evaluate the studies validity and reliability. Validity in this case will
be to find out how the study is automatically relevant and how it relates to the real world in the
long run (Iyengar, Acharya & Kadam, 2020). Reliability of the study should be indicative in the
sense that if at all the results can be used to make changes on the various parts of study,
especially those that have issues, then there definitely can be the changes that are needed and
with positive results, making all these very reliable in the long run (Stowe, Paulsen, Hill &
Schaffer, 2019).
Research Methodology
In this research case, there was an identification of a sun remediation company that handled lots
and lots of activities for both government as well as the private organizations. As it was indicated
that there will be handling of toxic substances both in water as well as in air. This therefore,
since it is an issue that basically was directed to the company of study that is in question, will
need the inclusion of the company’s workers as well as the data that lies on each and every one
else’s head (Iyyanki & Jayanthi, 2020). As the management therefore, there was a directive of