11 4 Sun Coast Remediation Michell Muldrow Columbia Southern University Research Methods Todd Senft August 10, 2021 Research Objectives, Research Questions, and Hypotheses This research is designed to provide an insight into a safe and healthier work environment for the employees working in hazardous and contaminated work sites that comes in contact with employees. This study's first and foremost objective is to find out any relationship between the microns or particulate matter and employee health. The second objective of the study under observation is to understand if the training has been successful and helpful in decreasing the effects of lost-time hours, and if they have been successfully working for employees, then how the lost-time hours can be predicted from the overall training cost. Another objective of the study is to find out if the collected data can be used to estimate the level of decibels for the work environment prior to putting the employees on work at the particular site. The fourth objective of the study is to determine if the new training program proves to be more effective than the previous one. The fifth objective of the research is to determine if the level of lead in the blood of employees working there has increased. The last objective of the research understudy is to find out if there are any differences in all the lines of services for the return of investment. Research Questions and Hypothesis Upon reviewing the data collected, we can induce the following research questions and hypotheses for each of the questions under observation to provide us with the research objective, question, null hypothesis, and alternative hypothesis of the corresponding statement. RO1: To determine if there is a relationship between microns and the health of employees on site. RQ1: Is there a relationship between particulate matter and employee health? Ho1: There is no statistically significant relationship between the annual sick days per employee and microns on site. Ha1: There is a statistically significant difference between microns on-site and annual sick days per employee. RO2: To determine if lost-time hours have been reduced by training. RQ2: Is the training successful in determining the lost-time hours? Ho2: Training and lost-time hours have no statistically significant relationship. Ha2: There is a statistically significant relationship between training and lost-time hours. RO3: To determine if the collected data can be used to predict the decibels levels of the work environment. RQ3: Is it feasible to predict the decibels levels of the work environment from the data collected? Ho3: A decibel level of the work environment cannot be predicted statistically from the collected data. Ha3: A decibel level of the work environment can be predicted statistically from the collected data. RO4: To determine whether the new training program has been effective than the previous ones. RQ4: Is the revised training program ...

1. 11
4
Sun Coast Remediation
Michell Muldrow
Columbia Southern University
Research Methods
Todd Senft
August 10, 2021
Research Objectives, Research Questions, and Hypotheses
This research is designed to provide an insight into a safe and
healthier work environment for the employees working in
hazardous and contaminated work sites that comes in contact
with employees. This study's first and foremost objective is to
find out any relationship between the microns or particulate
matter and employee health. The second objective of the study
under observation is to understand if the training has been
successful and helpful in decreasing the effects of lost-time
hours, and if they have been successfully working for
employees, then how the lost-time hours can be predicted from
the overall training cost. Another objective of the study is to
find out if the collected data can be used to estimate the level of
decibels for the work environment prior to putting the
employees on work at the particular site. The fourth objective of
the study is to determine if the new training program proves to
be more effective than the previous one. The fifth objective of
the research is to determine if the level of lead in the blood of

2. employees working there has increased. The last objective of
the research understudy is to find out if there are any
differences in all the lines of services for the return of
investment.
Research Questions and Hypothesis
Upon reviewing the data collected, we can induce the following
research questions and hypotheses for each of the questions
under observation to provide us with the research objective,
question, null hypothesis, and alternative hypothesis of the
corresponding statement.
RO1: To determine if there is a relationship between microns
and the health of employees on site.
RQ1: Is there a relationship between particulate matter and
employee health?
Ho1: There is no statistically significant relationship between
the annual sick days per employee and microns on site.
Ha1: There is a statistically significant difference between
microns on-site and annual sick days per employee.
RO2: To determine if lost-time hours have been reduced by
training.
RQ2: Is the training successful in determining the lost-time
hours?
Ho2: Training and lost-time hours have no statistically
significant relationship.
Ha2: There is a statistically significant relationship between
training and lost-time hours.
RO3: To determine if the collected data can be used to predict
the decibels levels of the work environment.
RQ3: Is it feasible to predict the decibels levels of the work
environment from the data collected?
Ho3: A decibel level of the work environment cannot be
predicted statistically from the collected data.
Ha3: A decibel level of the work environment can be predicted
statistically from the collected data.

3. RO4: To determine whether the new training program has been
effective than the previous ones.
RQ4: Is the revised training program more effective than the
prior training programs?
Ho4: Group A and B have no statistically significant
relationship.
Ha4: A statistically significant relationship between the scores
of group A and B have been recorded.
RO5: To determine if the lead level in the blood of employees
on-site has increased.
RQ5: Is there an increase in the lead levels of employees at
work?
Ho5: The increase in blood-led levels of employees is not
statistically significant.
Ha5: The blood lead levels of employees pre and post-exposure
are statistically significant.
RO6: To determine if there are any differences in return-on-
investment on all the lines of services.
RQ6: Are there any differences in return-on-investment on all
the lines of services?
Ho6: The difference in return-on-investment among all the lines
of services is not significant statistically.
Ha6: The difference in return-on-investment among all the lines
of services is significant statistically.

4. References
Creswell. (2018). Research Design, Qualitative, quantitative
and mixed-method approach (5th ed.). Thousand Oaks, CA
Sage.
Pope. (2015). Qualitative Research Methods: a data collector’s
field guide. Family Health International.
Mason, J. (2013). Qualitative Research. Thousand Oaks: Sage
Publications.
Lippmann, M. (2017). The current inadequacy of exposure
assessment and controls for airborne particulate matter
mixtures. Journal of exposure sciences and Environmental
Epidemiology, 27(5), 539-541.
Immigration and Refugees Issues
****APA 7th edition cover page and a reference page.****
1. Provide an introduction to your paper.
2. What are the current major migration patterns around the
world, and what are their origins?
3. Provide a categorization or classification system using person
versus environment issues of immigration.
4. Describe the impact of immigration on development.
5. What kinds of implications does immigration have on social
services?
6. Who are the most vulnerable individuals in the immigration
process, and how come the process is convoluted?

5. 7. Begin your conclusion with how this informs your
understanding of the importance of a death, and dying, for a
person's development?
Directions and Grading Criteria
Category
Points
Description
Introduction
5
Introduction to the paper
What are the current major migration patterns around the world,
and what are their origins?
30
Provide a clear explanation of the current and major migration
patterns around the world.
Provide a categorization or classification system using person-
versus-environment issues of immigration
25
Provide a categorization system and classification of
immigration based on person versus environment.
Describe the impact of immigration on development
20
Describe the impact immigration has on development.
Identify the most vulnerable individuals in the immigration
process, and explain how convoluted the process is
5
Identify the most vulnerable individuals in the immigration
process, and how come the process is convoluted?
Summary
5
Provide a summation of thoughts.
Total:
100
A quality essay will meet or exceed all of the above
requirements.

6. Rubric
MSW514 Module 6 Assignment - Immigration and Refugees
Issues
Criteria
Ratings
Pts
This criterion is linked to a Learning Outcome Introduction
Provide a short introduction related to the purpose of the paper.
5 pts
Short introduction related to the purpose of the paper
3 pts
Partially addresses the purpose of the paper
1 pts
Minimal introduction of the purpose of the paper
0 pts
No introduction of the purpose of the paper
5 pts
This criterion is linked to a Learning Outcome What are the
current major migration patterns around the world, and what are
their origins?
Provide a clear explanation of the current and major migration
patterns around the world.
30 pts
Excellent explanation of the current and major immigration
patterns
21 pts
Partial explanation of the current and major immigration
patterns
10 pts
Minimal explanation of the current and major immigration
patterns
0 pts
No explanation of the current and major immigration patterns

7. 30 pts
This criterion is linked to a Learning Outcome Provide a
categorization or classification system using person-versus-
environment issues of immigration
25 pts
Excellent categorization system and classification of
immigration
15 pts
Partial categorization system and classification of immigration
8 pts
Minimal categorization system and classification of immigration
0 pts
No categorization system and classification of immigration
25 pts
This criterion is linked to a Learning Outcome Describe the
impact of immigration on development
20 pts
Excellent description of impact of immigration on development
12 pts
Partial description of impact of immigration on development
6 pts
Minimal description of impact of immigration on development
0 pts
No description of impact of immigration on development
20 pts
This criterion is linked to a Learning Outcome Identify the most
vulnerable individuals in the immigration process, and explain
how convoluted the process is
5 pts
Excellent identification of most vulnerable individuals in the
immigration process and how come the process is convoluted
3 pts
Partial identification of most vulnerable individuals in the
immigration process and how come the process is convoluted

8. 2 pts
Minimal identification of most vulnerable individuals in the
immigration process and how come the process is convoluted
0 pts
No identification of most vulnerable individuals in the
immigration process and how come the process is convoluted
5 pts
This criterion is linked to a Learning Outcome Summary
Provide a summary of the case to include a summation of
thoughts.
5 pts
Provides an excellent summary of the case
3 pts
Provides a brief/partial summary of the case
2 pts
Provides a minimal summary of the case
0 pts
Provides no summary of the case
5 pts
This criterion is linked to a Learning Outcome Clarity of
writing
Use of standard English grammar and sentence structure; no
spelling errors or typographical errors; organized around the
require components using appropriate headers
5 pts
• Excellent use of standard English showing original thought •
No spelling or grammar errors • Well organized with proper
flow of meaning
3 pts
• Some evidence of own expression and competent use of
language • No more than three spelling or grammar errors •
Well-organized thoughts and concepts
2 pts
• Language needs development • Four or more spelling and/or

9. grammar errors • Poorly organized thoughts and concepts
0 pts
• Language needs significant development • Five or more
spelling and/or grammar errors • Fails to have organized
thoughts and concepts
5 pts
This criterion is linked to a Learning OutcomeAPA format
All information taken from another source, even if summarized,
must be appropriately cited in the manuscript and listed in the
reference using APA (7th ed.) format: Document set up; title
and reference pages; citations in the text and references.
5 pts
APA format correct, with no more than 1–2 minor errors
3 pts
3–5 errors in APA format, and/or 1–2 citations are missing
2 pts
APA format contains multiple errors, and/or several citations
are missing
0 pts
APA format not present and citations are not included
5 pts
Total Points: 100
1
1
Insert Title Here
Insert Your Name Here
Insert University Here
Course Name Here

10. Instructor Name
Date
Research Methodology, Design, and Methods
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
instructions and examples highlighted in yellow before
submitting this assignment.
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 col lected
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.

11. Choices include, but are not limited to, random sample,
convenience sample, etc. Explain your rationale for your
sampling design selection(s).
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.
References
Include references here using hanging indentations like the
example below.
Creswell, J. W., & Creswell, J. D. (2018). Research design:
Qualitative, quantitative, and mixed methods approaches (5th
ed.). SAGE.
Correlation Datajob sitemicronsmean annual sick days per
employee141126.573854855410677721185.5995710410114.581
28.5413771458159.531677179.55189.571951020662185227.562
38.55249425372667277.57287.55292.773029317.563294336634
3835853618378.55380.78390.58408.544128424.5943674477455
10462.5124759484749855057513.5952865355544.910557.5956
2.57576.575886595660766149628563186428654106649677768
5.2106957706671867267736.56741.58758.56762877857810479
1058088811882768310284788576866.57877.56888.568938900.

12. 599118929693779429958.57963.5997389876995.571007.57101
0.2121024810359
Simple Regression Datacontract #safety training expenditurelost
time
hours11161985.12102051500.003021461126.464016031294.104
09141445.56404371112.47505981720.816028011789.66601420
1837.52606822000.00607142271.866023361507.977022161542.
337013271544.907010251547.16709201567.55704651600.0070
1381452.698014111500.008014391500.008023881326.6090184
91351.259017401380.699016661423.579016721095.581002455
1132.881004031134.581008561163.4410020501170.921001271
1177.0510024291188.191008121323.291004051051.171101630
1054.0311023761071.751108611077.8611024361080.34110369
23.3712030957.1712076964.111201155976.641201273982.0612
01886985.69120630985.971204071000.001204881002.2712019
711035.4312062910.85130118912.351302912.3513042917.0213
092917.02130160922.02130149922.02130178950.00130160804.
2814056826.86140152832.871403836.33140196842.961401578
56.99140221883.8814062888.5714064893.36140143900.891401
39910.85140217759.86150182767.13150162777.24150159784.2
2150162785.69150145785.69150203792.35150135799.9015015
8800.62150182801.5815035746.02160163756.98160105759.521
60163700.93170131709.4017073715.6817055724.94170181612.
23180124613.7018055624.54180136635.191805642.791801796
44.15180150656.14180140669.8118096669.81180157678.60180
51689.55180153526.48185137537.35185195561.96185116564.1
6185196566.5018565568.95185194574.51185113579.32185855
83.63185190601.43185148607.2618554611.48185183393.77190
100405.9119092406.81190157426.7819040429.50190217450.56
190137456.9019091471.8119096474.76190203500.9219020550
3.17190188507.6419029507.77190189509.4319034513.6919056
514.0719049526.14190145336.5120011344.3920075345.692001
55365.99200132377.93200168385.0520065391.7520038264.002
10186264.002109264.00210146265.40210123268.60210108275.
70210221283.16210201288.0021025288.0021072295.84210213
300.00210129305.27210195313.36210141244.0022075250.5722

13. 033255.12220119256.89220205263.27220120263.60220110223.
64230208226.6523019230.00230211230.00230221231.5223023
233.29230133234.0023019234.0023084234.00230167234.00230
96234.00230200234.57230171236.6023018236.91230107237.70
230152243.24230120244.00230143218.0023524205.002401042
06.97240170215.37240115215.69240159215.99240125217.9924
0128218.00240105205.00245209169.58250190174.0925019917
9.06250110179.78250151192.61250219196.6525033201.362501
56202.71250161204.57250133205.00250131135.9926054145.59
26024152.6126048125.63270212128.0027091128.00270445.302
8018745.6928013450.002802451.23280656.8928013568.952801
32102.57280101102.5728034102.6428027103.5728086125.1828
0184731.362853570.9229014075.9029017397.97290131100.002
9042100.0029095100.0329017102.5629068102.5729019756.903
005956.90300268.0930011968.593001942.573202845.69320653
0.433301835.993309525.6934020126.603404026.9034019920.4
6360
Multiple Regression Datacontract #Frequency (Hz)Angle in
DegreesChord LengthVelocity (Meters per
Second)DisplacementDecibel142080000.180971.30.0026633712
6.201682100000.089371.30.00266337125.201714125000.03137
1.30.00266337125.9512336160000.186771.30.00266337127.591
2216200000.070571.30.00266337127.4611327250000.128171.3
0.00266337125.5711025315000.196671.30.00266337125.20192
0400000.135371.30.00266337123.061465500000.168871.30.002
66337121.301138630000.157871.30.00266337119.54114118000
00.055871.30.00266337117.15114391000000.151371.30.002663
37115.39123881250000.123871.30.00266337112.241184916000
00.127671.30.00266337108.721174050000.166655.50.00283081
126.416166663000.151555.50.00283081127.696167280000.122
955.50.00283081128.0862455100000.098555.50.00283081126.9
66403125000.172455.50.00283081126.086856160000.112755.5
0.00283081126.9862050200000.070555.50.00283081126.61612
71250000.198855.50.00283081124.1062429315000.115955.50.0
0283081123.236812400000.033255.50.00283081121.106405500
000.036455.50.00283081119.6061630630000.123155.50.002830

14. 81117.9762376800000.065755.50.00283081116.4768611000000
.136555.50.00283081113.07624361250000.117855.50.00283081
111.0763620000.175239.60.00310138118.1293025000.188639.6
0.00310138119.3197631500.032839.60.00310138122.77911554
0000.04239.60.00310138124.809127350000.118839.60.0031013
8126.959188663000.140939.60.00310138128.62963080000.195
339.60.00310138129.099407100000.09539.60.00310138127.899
488125000.103339.60.00310138125.4991971160000.120539.60.
00310138124.04962200000.079239.60.00310138123.689118250
000.153839.60.00310138121.3992315000.112239.60.003101381
20.31942400000.111339.60.00310138119.22992500000.039539.
60.00310138117.789160630000.115839.60.00310138116.22914
9800000.153139.60.00310138114.7791781000000.053639.60.00
310138112.1391601250000.061439.60.00310138109.619562000
0.198931.70.00331266117.19515225000.14831.70.00331266118
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0331266125.04515750000.140231.70.00331266127.3152216300
0.091431.70.00331266129.0956280000.044331.70.00331266129
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0.00331266124.355139160000.106931.70.00331266122.365217
200000.059231.70.00331266122.375182250000.130431.70.0033
1266120.755162315000.172231.70.00331266119.135159400000
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645145630000.038631.70.00331266113.775203800000.061131.
70.00331266110.5151351000000.051231.70.00331266108.2651
588001.50.052571.30.00336729127.12218210001.50.11971.30.0
0336729125.9923512501.50.050271.30.00336729125.87216316
001.50.167571.30.00336729126.63210520001.50.076971.30.003
36729126.64216325001.50.184871.30.00336729124.512131315
01.50.030171.30.00336729123.3927340001.50.108671.30.00336
729121.7625550001.50.033671.30.00336729119.63218163001.5
0.141471.30.00336729118.12212480001.50.090871.30.0033672
9115.37255100001.50.189971.30.00336729113.492136125001.5
0.041171.30.00336729109.2225160001.50.195271.30.00336729
106.5821793151.50.185439.60.00392107121.8511504001.50.15
9439.60.00392107124.0011405001.50.069439.60.00392107126.

15. 661966301.50.11939.60.00392107128.3111578001.50.099239.6
0.00392107128.8315110001.50.161739.60.00392107127.581153
12501.50.035239.60.00392107125.21113716001.50.155839.60.0
0392107122.21119520001.50.192939.60.00392107122.1011162
5001.50.110639.60.00392107120.98119631501.50.037239.60.00
392107119.1116540001.50.078839.60.00392107117.741194500
01.50.144339.60.00392107116.24111363001.50.14539.60.00392
107114.7518580001.50.123539.60.00392107112.251190100001.
50.093939.60.00392107108.991148125001.50.130739.60.00392
107106.1115440030.136571.30.00425727127.56418350030.157
871.30.00425727128.45410063030.145371.30.00425727129.354
9280030.171171.30.00425727129.494157100030.104971.30.004
25727129.00440125030.120171.30.00425727127.634217160030
.106971.30.00425727126.514137200030.141571.30.0042572712
5.52491250030.137171.30.00425727124.02496315030.039671.3
0.00425727121.514203400030.180971.30.00425727120.264205
500030.135971.30.00425727118.134188630030.086271.30.0042
5727116.13429800030.171371.30.00425727114.6341891000030
.061771.30.00425727110.2243440030.035155.50.00452492126.
1595650030.086955.50.00452492128.1794963030.09255.50.004
52492129.56914580030.046355.50.00452492129.94911100030.
091255.50.00452492129.32975125030.118955.50.00452492127.
329155160030.072855.50.00452492124.439132200030.097455.
50.00452492123.069168250030.171955.50.00452492122.43965
315030.160155.50.00452492120.18938400030.136555.50.00452
492118.689186500030.176955.50.00452492117.3099630030.12
0755.50.00452492115.679146800030.046455.50.00452492113.7
991231000030.05455.50.00452492112.16910831530.132539.60.
00495741123.31222140030.134239.60.00495741125.472201500
30.075539.60.00495741127.6322563030.129939.60.0049574112
9.2927280030.093239.60.00495741129.552213100030.051439.6
0.00495741128.312129125030.108939.60.00495741125.802195
160030.088639.60.00495741122.782141200030.037539.60.0049
5741120.53275250030.136739.60.00495741120.16233315030.0
87839.60.00495741118.922119400030.052739.60.00495741116.
792205500030.080439.60.00495741115.792120630030.104639.

16. 60.00495741114.042110800030.037639.60.00495741110.65220
831530.086631.70.00529514123.1181940030.170631.70.005295
14125.39821150030.041531.70.00529514127.54822163030.147
831.70.00529514128.6982380030.107631.70.00529514128.7081
33100030.126731.70.00529514126.83819125030.0531.70.00529
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9.60.0408268108.62519630012.30.188339.60.0408268107.9858
420012.30.144331.70.0418756124.98716725012.30.126431.70.0
418756125.8579631512.30.050931.70.0418756124.7172004001
2.30.044231.70.0418756123.20717150012.30.125131.70.041875
6118.6671863012.30.091731.70.0418756119.28710780012.30.1
59631.70.0418756120.037152100012.30.182531.70.0418756119
.777120125012.30.100531.70.0418756118.767143160012.30.19
6531.70.0418756114.47724200012.30.197631.70.0418756110.4
47104250012.30.153731.70.0418756110.317170315012.30.1504
31.70.0418756110.307115400012.30.133231.70.0418756108.40
7159500012.30.031431.70.0418756107.147125630012.30.19893
1.70.0418756107.26712820015.60.186671.30.0437259130.8981
0525015.60.075971.30.0437259132.15820931515.60.062771.30.
0437259133.80819040015.60.186371.30.0437259134.05819950
015.60.109971.30.0437259130.63811063015.60.178971.30.0437
259122.28815180015.60.106371.30.0437259124.188219100015.
60.175471.30.0437259124.43833125015.60.032471.30.0437259
123.178156160015.60.09871.30.0437259121.528161200015.60.
153571.30.0437259119.888133250015.60.198271.30.043725911
8.998131315015.60.128871.30.0437259116.46854400015.60.06
0871.30.0437259113.2982420015.60.175439.60.0528487123.51
44825015.60.1439.60.0528487124.64421231515.60.076339.60.0
528487122.7549140015.60.108839.60.0528487120.484450015.6
0.054339.60.0528487115.30418763015.60.154439.60.05284871
18.08413480015.60.045339.60.0528487118.96424100015.60.11
9739.60.0528487119.2246125015.60.19239.60.0528487118.214
135160015.60.159939.60.0528487114.554132200015.60.196739
.60.0528487110.894101250015.60.118739.60.0528487110.2643
4315015.60.164439.60.0528487109.25427400015.60.135439.60.
0528487106.60486500015.60.191539.60.0528487106.22418463

40. 0015.60.1939.60.0528487104.204
Independent t Test DataGroup A Prior Training ScoresGroup B
Revised Training
Scores88888176809689798990618788895680748586886986508
37293657779926575758754887081718279855386807564905879
80768089509561796185748375835478719066895792838668807
79754898084628670807081828750836579768564775583618691
856891708850856491738273847282788470817684
Paired Samples t Test DataEmployeePre-Exposure μg/dLPost-
Exposure
μg/dL166288310104121251515616167171781818919191021211
12222122323132323142626152727162828172929182929193131
20313121333322343423343424353525353826364027364228364
42936363038383138383239393339393441413541413641413742
42384242394343404343414444424646434646444848454848464
949475050485050495656
ANOVA One-Way DataConsulting Project Return on Investment
(%)A = AirB = SoilC = WaterD =
Training1110458123661355811669754108861011661297587559
89591076119664975566438655854131012312910711911714812
8