Data Collection Team C QNT/351 July 14, 2015 Professor Hon Tachia | 1 | 9 Data Collection Ballard Integrated Managed Service (BIMS) is a highly competitive company that offers service to 22 Fortune 100 businesses, over 100 midsized firms, 16 major universities, 14 medical centers, and 3 larger regional airports. Altogether, BIMS employs 452 workers including Barbara Tucker. In this paper the team will present the problem that BIMS has, identify the different types of data collected, describe how the data is coded, and draw a conclusion of the data to meet the purpose of the study. Barbara is faced with the challenge of trying to figure out why the retention of her employees has risen to 64% in the past 6 months. Barbara has also noticed the use of sick time has increased; workers appear to waste more time throughout the day, the employees performance has decreased, resulting in an increase in complaints from their clients. Due to all these factors, BIMS has given Debbie permission to develop an employee survey. This survey is anonymous and voluntary. Every employee will receive this survey with their checks, except upper management. It will be a series of question that will allow the employees to express their views regarding their working environment, shift hours, how they feel they are being treated by the company, as well as their compensation. By doing this, it will allow Debbie to draw a better conclusion as to why the retention is higher and the moral is down. Types of data collected From the Ballard Integrated Managed Services (BIMS) survey, there are both qualitative, and quantitative types of data collected. Qualitative data deals with the description; data can be observed but not measured example being: colors, textures, smells tastes, appearance beauty, etc. On the other hand, quantitative deals with the quantitative type of data, data that can be measured, examples are length, height, area, volume, weight, speed, etc., (McClave, Benson, & Sincich,  ). Despite the data collected being both qualitative and quantitative, the qualitative just covers a small part of the research of the company. Barbara looks the activities happening on the sprawling campus through her 6th-floor office window. She notices the morale of her staff has changed negatively, but she doesn’t get the reason. The data collected major concentrates on the quantitative type of data, which clearly indicates the exact number of different results acquired. BIMS being a support service company has 22 Fortune 100 businesses, over 100 midsize firms, 16 major universities, 14 medical centers and three larger regional airports. The survey indicates 5300 staff members who are provided with daily meals. The company employs 409 full and part time workers and 27 managers. The Human Resource Manager, Debbie Horner who just completed her MBA applies it to research on the problems facing the company. It took her only two years carrying her survey after he.

1. Data Collection
Team C
QNT/351
July 14, 2015
Professor Hon Tachia
| 1
| 9
Data Collection
Ballard Integrated Managed Service (BIMS) is a highly
competitive company that offers service to 22 Fortune 100
businesses, over 100 midsized firms, 16 major universities, 14
medical centers, and 3 larger regional airports. Altogether,
BIMS employs 452 workers including Barbara Tucker. In this
paper the team will present the problem that BIMS has, identify
the different types of data collected, describe how the data is
coded, and draw a conclusion of the data to meet the purpose of
the study.
Barbara is faced with the challenge of trying to figure out why
the retention of her employees has risen to 64% in the past 6
months. Barbara has also noticed the use of sick time has
increased; workers appear to waste more time throughout the
day, the employees performance has decreased, resulting in an
increase in complaints from their clients. Due to all these

2. factors, BIMS has given Debbie permission to develop an
employee survey. This survey is anonymous and voluntary.
Every employee will receive this survey with their checks,
except upper management. It will be a series of question that
will allow the employees to express their views regarding their
working environment, shift hours, how they feel they are being
treated by the company, as well as their compensation. By doing
this, it will allow Debbie to draw a better conclusion as to why
the retention is higher and the moral is down.
Types of data collected
From the Ballard Integrated Managed Services (BIMS) survey,
there are both qualitative, and quantitative types of data
collected. Qualitative data deals with the description; data can
be observed but not measured example being: colors, textures,
smells tastes, appearance beauty, etc. On the other hand,
quantitative deals with the quantitative type of data, data that
can be measured, examples are length, height, area, volume,
weight, speed, etc., (McClave, Benson, & Sincich, ).
Despite the data collected being both qualitative and
quantitative, the qualitative just covers a small part of the
research of the company. Barbara looks the activities happening
on the sprawling campus through her 6th-floor office window.
She notices the morale of her staff has changed negatively, but
she doesn’t get the reason. The data collected major
concentrates on the quantitative type of data, which clearly
indicates the exact number of different results acquired. BIMS
being a support service company has 22 Fortune 100 businesses,
over 100 midsize firms, 16 major universities, 14 medical

3. centers and three larger regional airports. The survey indicates
5300 staff members who are provided with daily meals. The
company employs 409 full and part time workers and 27
managers.
The Human Resource Manager, Debbie Horner who just
completed her MBA applies it to research on the problems
facing the company. It took her only two years carrying her
survey after her MBA, and she had collected a lot of data from
the workers. She based her thesis on employee motivation, how
she could improve the morale of staff. The level of
measurement for each variable depended on the type of data
being collected by the researcher. Debbie Horner decided to
conduct the biweekly survey payrolls where every worker was
to respond. She also collected few demographics that she later
used to study possible correlations with workers.
Corrected Data
No
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
Q9
Q10
A
B
C
D
1
3

4. 4
0
1
5
1
3
0
3
2
3
37
2
2
2
5
5
5
5
5
3
5
5
2
5
1
12
1
2
3
1
2
1
5
5
1
1

5. 1
1
1
2
76
1
2
4
2
5
3
3
2
4
5
1
3
4
2
3
2
1
5
4
4
5
1
4
1
3
3
2
4
2
16
1

6. 2
6
5
2
5
4
3
3
2
1
2
1
1
52
1
2
7
0
1
4
5
3
2
5
4
2
1
1
8
2
2
8
1
3
2
2

7. 5
2
4
5
3
2
2
28
0
2
9
3
3
1
4
4
2
2
2
2
4
3
15
2
1
10
5
1
3
2
2
2
1
4
1
1

8. 1
83
2
2
11
5
4
3
3
1
3
3
2
2
1
2
21
1
1
12
4
5
1
3
3
2
3
3
3
2
1
216
2
2
13
2

9. 2
4
0
3
3
1
3
3
3
1
27
1
1
14
1
4
5
5
1
3
4
0
2
1
2
5
1
2
15
3
2
2
4
4
0
5

10. 5
3
4
3
27
2
2
16
3
3
4
1
5
2
2
4
4
5
2
16
2
2
17
1
3
2
1
2
3
4
1
2
2
1
4
1

11. 2
18
4
0
3
2
4
1
2
1
1
4
2
58
2
2
19
5
5
3
5
2
1
3
2
3
2
1
108
0
1
20
2
4
2
1

12. 3
2
3
5
3
3
2
82
2
2
21
4
1
5
5
4
3
5
2
1
3
1
43
2
2
22
2
1
4
2
2
1
5
4
3
0

13. 0
14
1
0
23
3
2
1
3
5
4
4
2
2
5
2
96
1
2
24
3
5
1
2
4
2
1
3
2
4
2
251
2
2
25
2

14. 1
2
2
1
3
1
2
4
1
3
87
1
1
26
5
4
5
3
1
2
2
2
2
1
1
15
1
2
27
4
2
1
5
2
2
5

15. 3
3
2
2
7
2
2
28
1
3
4
4
5
3
1
5
3
5
2
36
2
2
29
1
2
2
4
1
2
4
4
2
1
1
139
1

16. 2
30
2
2
3
2
4
1
2
4
1
4
1
47
2
0
31
5
3
2
2
2
4
3
2
4
2
2
14
2
2
32
1
5
2
3

17. 3
2
2
2
1
3
1
9
2
2
33
4
4
3
1
2
2
2
3
1
2
3
7
1
2
34
2
4
5
1
2
3
3
1
2
2

18. 2
116
2
2
35
3
2
4
2
3
1
5
1
3
3
1
73
2
1
36
2
2
4
5
5
1
4
2
1
5
1
157
1
2
37
2

19. 3
2
4
4
2
4
5
3
4
2
14
2
2
38
3
1
2
2
4
1
2
4
2
4
1
2
1
2
39
5
1
3
1
2
3
2

20. 2
3
2
2
69
2
2
40
4
2
1
0
2
2
3
1
2
2
1
14
2
1
41
4
5
1
3
3
1
1
0
2
3
2
67
2

21. 2
42
2
4
2
2
1
0
1
3
3
1
2
44
1
2
43
2
2
5
1
1
3
2
2
2
1
1
60
2
2
44
3
1
4
4

22. 2
2
5
1
4
2
1
8
2
1
45
1
0
2
3
5
1
4
4
2
5
2
57
2
2
46
1
3
1
2
4
1
2
3
2
4

23. 2
277
1
2
47
2
2
5
5
2
3
1
2
2
2
1
328
2
2
48
5
1
3
3
1
2
5
5
3
1
2
57
2
2
49
4

24. 4
2
2
5
2
3
3
1
0
1
97
1
2
50
2
3
1
1
3
3
2
2
1
3
2
54
2
2
51
1
2
4
4
2
2
1

25. 1
2
2
3
17
2
2
52
5
5
3
4
1
1
4
4
3
1
1
6
2
2
53
3
3
2
1
4
2
3
4
2
4
2
209
1

26. 2
54
2
2
5
2
3
4
2
1
2
3
1
96
2
2
55
1
1
3
5
2
1
5
2
1
2
1
5
2
1
56
4
4
2
2

27. 5
2
3
5
3
5
2
6
2
2
57
3
4
1
3
3
2
2
2
3
3
2
12
2
2
58
2
1
4
3
2
2
1
3
2
2

28. 1
4
2
2
59
5
2
4
2
1
3
4
3
1
1
2
7
2
2
60
3
5
1
3
0
3
4
2
1
4
3
19
1
2
61
2

29. 2
2
2
4
2
1
3
3
4
2
119
2
2
62
1
3
5
1
1
3
2
2
2
1
1
53
2
2
63
4
3
2
4
2
2
5

30. 1
2
2
2
22
2
1
64
4
2
3
5
5
1
2
4
3
5
1
14
2
2
65
1
3
3
2
2
4
3
5
2
2
2
23
1

31. 2
66
2
2
2
1
3
1
3
2
1
3
1
7
2
2
67
5
1
3
5
3
2
2
1
2
3
1
5
2
2
68
2
4
2
2

32. 2
1
3
5
4
2
2
9
1
2
69
3
5
1
0
3
3
2
2
1
3
2
19
2
2
70
3
2
4
4
2
2
1
0
2
2

33. 3
18
1
2
71
2
1
5
5
1
0
4
4
2
1
2
57
1
2
72
3
5
2
1
4
3
5
5
2
4
2
49
2
2
73
2

34. 2
1
2
5
2
2
1
3
5
1
61
1
2
74
1
0
4
4
2
1
1
2
3
2
1
11
2
2
75
4
4
5
5
1
2
4

35. 4
2
1
2
90
2
1
76
5
5
2
1
4
2
5
5
3
5
3
47
1
2
77
2
1
1
2
5
4
2
1
1
2
1
63
1

36. 2
78
1
2
3
5
2
1
1
2
1
4
2
10
2
2
Appropriateness of the data to meet the purpose of the study
The data presented for the study is very appropriate. The
collected data includes both qualitative and quantitative data.
The questionnaire created was used to query employee views
with regards to their working conditions, their working hours,
the quality of training provided by the company, levels of
benefits, whether employees receive fair treatment, the internal
communication of the company, and job security. The collected
data has the population apparent, and after sending employees
the survey, a sample of 78 out of 499 total response was
received to be studied. The response represents about 17.3% of
the total population to be studied. This is a reasonable amount
to be considered for the study, thus providing a sample subset
of the population. Although the data collected was not what
was desired, the data collected selected from the larger set of
data, which is called process sample and is adequate to estimate

37. the studies at hand to make the required assumption and
inference. The collected data is adequate to determine the mean,
median mode. It is also appropriate to determine the standard
deviation, variance, minimum and maximum levels.
References
McClave, J. T. M., Benson, P. G. B., & Sincich, T. (). Statistics
for Business and Economics (11th ed.). : Prentice Hall.
You are the Information Security Officer at a medium-sized
company (1,500 employees). The CIO asks you to explain why
you believe it is important to secure the Windows and
Unix/Linux servers from known shortcomings and
vulnerabilities. Explain to your CIO what you can do to make
sure the network infrastructure is more secure.
This assignment requires 1 to 2 single spaced pages in length.
Use transition words; a thesis statement; an introduction, body,
and conclusion; and a reference page with at least two
references. Use a single-spaced, Arial font, size 12.