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Business Research Project Part 2: Literature Review
Arlene Romero-Cruz, David Coleman, Felicia Clemons, Nicole
Dulimba, Marchelle Lee and Matthew O'Leary
QNT 561
April 6, 2015
Kenneth Le Cour
Running head: BUSINESS RESEARCH PROJECT PART 2:
LITERATURE REVIEW
1
BUSINESS RESEARCH PROJECT PART 2: LITERATURE
REVIEW
4
Business Research Project Part 2: Literature Review
TTA is one of the leading telecommunications companies in the
nation. The organization employs tens of thousands of
employees and prides itself on recognition as one of the top 100
companies to work for in the United States. TTA wants all of its
employees, from executive leaders to call center reps, to feel
satisfied in their job and TTA takes an active role to ensure that
this is the case.
The human resource management team at TTA is concerned
about the level of job satisfaction between day shift employees
and back shift employees. In an effort to address this potential
problem, the team will look at the relationship between the
dependent variable of job satisfaction and if it correlates to the
independent variable of the employee shift.
Research Question - Revised
Are second shift (IV) employees less satisfied (DV) than first
shift employees?
The human resource team conducted research relative to
employee shift and job satisfaction. Peter Finn notes a couple of
benefits to shift work which include flexibility in finding a job
as well as increased income due to shift premiums. He also
notes several drawbacks which include health concerns due to
changes in sleep quality, less time spent with family, and a
negative impact on social life (Finn, 1981). Additionally,
according to Werling (2008), "compensation/pay, benefits, job
security, flexibility to balance work/life issues and
communication between employees and senior management
were the top five contributors to job satisfaction, according to
employees" (para 2). This detail will help guide the
management team to determine overall job satisfaction for
second shift employees at TTA.
Hypothesis Statements
1. There is no relationship between worker satisfaction (DV)
and certain shifts (IV).
Employee dissatisfaction stems from a disconnection between
ideals and work activities. Mundane and monotonous activities
account for employee dissatisfaction. The dissatisfaction
eventually affects an employee’s work ethic and production
levels.
2. There is a relationship between worker satisfaction (DV) and
certain shifts (IV).
Content employees are necessary for business representation.
Offering alternative work schedules is helpful. Creative shift-
schedule options and management-employee scheduling
consensus coincide to address business needs, worker
preferences and efficiently productive employees with work and
home-life balance.
Conclusion
The human resources team can conclude that by using the
formula f(x) the independent variable are the shifts because that
is what can be changed to affect the dependent variable. The
dependent variable or worker satisfaction is what are analyzing
to improve overall employee satisfaction at TTA. Employees are
the vital resource of any organization. To understand what
motivates employees and how to motivate them for employee
satisfaction, which will lead to organizational performance, is
invaluable. Acknowledgement and recognition will build the
difference in employee’s performance.
Reference
Finn, P. (1981). The effects of shift work on the lives of
employees. Retrieved from
http://www.companiongroup.com/UserFiles/compgroup/Docume
nts/Safety%20%20Risk%20Management/Effects%20of%20Shift
%20Work.pdf
Werling, M. (2008, August). Survey Details Job Satisfaction
Criteria. Benefits Selling. (), .
Retrieved from http://search.proquest.com.contentproxy.phoenix
.edu/docview/853417963?accountid=458
SHORT TITLE OF PAPER
1
Running head: DESCRIPTIVE STATISTICS
1Comments marked in red
Descriptive Statistics
QNT/561
April 13, 2015
Kenneth Le Cour
Descriptive Statistics
Numeric Variable Shift 1
Central Tendency: Mean = 997
Dispersion: Standard Deviation = 20
Number: Count = 59
Min/Max: 959 and 1034
Confidence Interval: (if distribution is normal) – 992 to 1002
Numeric Variable Shift 02
Central Tendency: Mean = 881.54
Dispersion: Standard deviation = 17.681
Number: Count=59
Min/Max: 847 & 913
Confidence Interval: (if distribution is normal) – 876.94 to
886.15
Your data is good. What do these variables represent? Is your
data normally distributed?
Attribute Variable Name: Date
Create a bar chart. Describe the proportions.
What is this chart telling you?
What are these graphs telling you?
Descriptive Statistics Interpretation
The production yield with respect to date is used for the
analysis of shift 1 and it can be seen from the bar charts that the
production intensity is high in five to six days. But as the time
increases, the production decreases. The standard deviation of
the production is 19.856 and we are 95% sure that the
production ranges between 992 and 1038.
The production yield with respect to date is used for the
analysis of shift 2 and it can be seen from the bar charts that the
production intensity is high in six to seven days. The mean of
the production in shift 2 is 881.54. The production was high in
the start of January and then decreases in next month. It means
that the date provided the best estimation of the production in
shift 2. The standard deviation of the production is 17.86 and
we are 95% sure that the production ranges between 876 and
886. Good.
Your paper is good. This is a good opportunity to start
reviewing the data for your project. This review should provide
you an opportunity to see if you need to reconsider the data, you
are collecting for your project. Will you be able to test your
data statistically?
Content
70 Percent
Met
Partially
Met
Not Met
Comments:
Creation of a Microsoft® Excel® spreadsheet with the two
variables from your learning team’s dataset.
X
Analysis of the data with MegaStat®, StatCrunch®, Microsoft®
Excel® or other statistical tool(s), and includes the following:
(a) Descriptive stats for each numeric variable
(b) Histogram for each numeric variable
(c) Bar chart for each attribute (non numeric) variable
(d) Scatter plot if the data contains two numeric variables
X
Use of the Individual Methodology Findings Template to
complete the descriptive statistics.
X
Determination of the appropriate descriptive statistics which
included one of the following:
(a) For normally distributed data use the mean and standard
deviation.
(b) For significantly skewed data use the median and
interquartile range.
X
Use of the Descriptive Statistics and Interpretation Example to
develop an interpretation of the descriptive statistics.
X
Appendix A
Raw data used in the analysis
Date
Shift 1
Shift 2
01-Jan-13
1000
890
02-Jan-13
1010
892
03-Jan-13
1030
910
04-Jan-13
999
883
05-Jan-13
1004
887
06-Jan-13
1001
882
07-Jan-13
1000
890
08-Jan-13
1010
892
09-Jan-13
1030
910
10-Jan-13
999
883
11-Jan-13
1004
887
12-Jan-13
1001
882
13-Jan-13
1000
890
14-Jan-13
1010
892
15-Jan-13
1031
910
16-Jan-13
1000
883
17-Jan-13
1005
887
18-Jan-13
1001
882
19-Jan-13
1001
891
20-Jan-13
1004
893
21-Jan-13
1014
895
22-Jan-13
1034
913
23-Jan-13
1003
886
24-Jan-13
1008
890
25-Jan-13
1005
885
26-Jan-13
1004
893
27-Jan-13
1014
895
28-Jan-13
1034
913
29-Jan-13
1003
886
30-Jan-13
1008
890
31-Jan-13
1005
885
01-Feb-13
1004
893
02-Feb-13
1014
895
03-Feb-13
1034
913
04-Feb-13
1011
893
05-Feb-13
981
866
06-Feb-13
986
870
07-Feb-13
982
866
08-Feb-13
982
874
09-Feb-13
991
876
10-Feb-13
1011
893
11-Feb-13
981
866
12-Feb-13
986
871
13-Feb-13
983
866
14-Feb-13
982
874
15-Feb-13
992
876
16-Feb-13
1011
893
17-Feb-13
989
873
18-Feb-13
959
847
19-Feb-13
964
851
20-Feb-13
961
847
21-Feb-13
960
854
22-Feb-13
970
856
23-Feb-13
989
873
24-Feb-13
959
847
25-Feb-13
991
875
26-Feb-13
962
849
27-Feb-13
966
853
28-Feb-13
963
849
Appendix B
Charts and Tables
Shift 1
Frequency Distribution - Quantitative
Shift 1
cumulative
lower
upper
midpoint
width
frequency
percent
frequency
percent
950
<
960
955
10
2
3.4
2
3.4
960
<
970
965
10
6
10.2
8
13.6
970
<
980
975
10
1
1.7
9
15.3
980
<
990
985
10
10
16.9
19
32.2
990
<
1,000
995
10
5
8.5
24
40.7
1,000
<
1,010
1,005
10
20
33.9
44
74.6
1,010
<
1,020
1,015
10
9
15.3
53
89.8
1,020
<
1,030
1,025
10
0
0.0
53
89.8
1,030
<
1,040
1,035
10
6
10.2
59
100.0
59
100.0
Shift 2
Frequency Distribution - Quantitative
Shift 2
cumulative
lower
upper
midpoint
width
frequency
percent
frequency
percent
840
<
850
845
10
5
8.5
5
8.5
850
<
860
855
10
4
6.8
9
15.3
860
<
870
865
10
4
6.8
13
22.0
870
<
880
875
10
9
15.3
22
37.3
880
<
890
885
10
13
22.0
35
59.3
890
<
900
895
10
18
30.5
53
89.8
900
<
910
905
10
0
0.0
53
89.8
910
<
920
915
10
6
10.2
59
100.0
59
100.0
Appendix C
Descriptive Statistics
Descriptive statistics
Shift 1
count
59
mean
997.22
sample variance
393.49
sample standard deviation
19.84
minimum
959
maximum
1034
range
75
confidence interval 95.% lower
992.05
confidence interval 95.% upper
1,002.39
half-width
5.17
1st quartile
984.50
median
1,001.00
3rd quartile
1,009.00
interquartile range
24.50
mode
1,004.00
low extremes
0
low outliers
0
high outliers
0
high extremes
0
4/18/2015 9:32.42 (1)
Descriptive statistics
Shift 2
count
59
mean
881.46
sample variance
311.98
sample standard deviation
17.66
minimum
847
maximum
913
range
66
confidence interval 95.% lower
876.85
confidence interval 95.% upper
886.06
half-width
4.60
1st quartile
872.00
median
885.00
3rd quartile
892.50
interquartile range
20.50
mode
893.00
low extremes
0
low outliers
0
high outliers
0
high extremes
0
4/18/2015 9:33.30 (1)
Business Research Project Part 2 Literature ReviewArl.docx
Business Research Project Part 2 Literature ReviewArl.docx

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