1
Insert Title Here
Insert Your Name Here
Insert University Here
Course Name Here
Instructor Name
Date
2
Data Analysis: Descriptive Statistics and Assumption Testing
Describe the Sun Coast Remediation data using the descriptive statistics tools discussed
in the lecture. Establish whether assumptions are met to use parametric statistical procedures.
Repeat this for each tab in the Sun Coast Remediation Research Study data set. Delete
instructions and examples highlighted in yellow before submitting this assignment.
Correlation: Descriptive Statistics and Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal, interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics above. Conclude with an
explicit statement about whether the assumptions for parametric statistical testing were met or
not met.
3
Simple Regression: Descriptive Statistics and Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal, interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics above. Conclude with an
explicit statement about whether the assumptions for parametric statistical testing were met or
not met.
Multiple Regression: Descriptive Statistics and Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from Excel.
Histogram
4
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal, interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they a ...
1. 1
Insert Title Here
Insert Your Name Here
Insert University Here
Course Name Here
Instructor Name
Date
2
Data Analysis: Descriptive Statistics and Assumption Testing
Describe the Sun Coast Remediation data using the descriptive
statistics tools discussed
in the lecture. Establish whether assumptions are met to use
2. parametric statistical procedures.
Repeat this for each tab in the Sun Coast Remediation Research
Study data set. Delete
instructions and examples highlighted in yellow before
submitting this assignment.
Correlation: Descriptive Statistics and Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
3. Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
3
Simple Regression: Descriptive Statistics and Assumption
Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
4. Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
Multiple Regression: Descriptive Statistics and Assumption
Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
5. 4
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
6. not met.
Independent Samples t Test: Descriptive Statistics and
Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
5
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
7. Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
Dependent Samples (Paired-Samples) t Test: Descriptive
Statistics and Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
8. Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
6
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
ANOVA: Descriptive Statistics and Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
9. Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
7
10. References
Include references here using hanging indentations.
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.
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
39. 949475050485050495656
ANOVA One-Way DataConsulting Project Return on Investment
(%)A = AirB = SoilC = WaterD =
Training1110458123661355811669754108861011661297587559
89591076119664975566438655854131012312910711911714812
8
1
Insert Title Here
Insert Your Name Here
Insert University Here
2
Sun Coast Remediation Course Project Guidance
40. 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.
41. 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.
3
Sun Coast Remediation Course Project
Introduction
Senior leadership at Sun Coast has identified several areas for
concern that they believe
could be solved using business research methods. The previous
42. 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
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
43. 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
4
recorded in microns. Data are also available for average annual
sick days per employee per job-
site.
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
44. 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
45. 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
5
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
46. 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.