Management Report of Conclusions

  

Week_2_Assignment_July_14_2015.docxPrepare a 1050-1200 word report of conclusions drawn from the data and make recommendations to the management from my paper.
week_2_assignment_july_14_2015.docx

Unformatted Attachment Preview

Don't use plagiarized sources. Get Your Custom Essay on
Management Report of Conclusions
Just from $13/Page
Order Essay

|1
Data Collection
Team C
QNT/351
July 14, 2015
Professor Hon Tachia
|2
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.
|3
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 her MBA, and she had collected a lot of data from the workers.
|4
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.
|5
Corrected Data
No
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
Q9
Q10
A
B
C
D
1
3
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
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
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
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
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
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
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
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
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
0
14
1
0
|6
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
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
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
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
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
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
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
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
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
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
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
4
2
2
5
2
3
3
1
0
1
97
1
2
|7
50
2
3
1
1
3
3
2
2
1
3
2
54
2
2
51
1
2
4
4
2
2
1
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
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
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
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
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
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
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
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
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
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
4
2
1
2
90
2
1
76
5
5
2
1
4
2
5
5
3
5
3
47
1
2
|8
77
2
1
1
2
5
4
2
1
1
2
1
63
1
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 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.
|9
References
McClave, J. T. M., Benson, P. G. B., & Sincich, T. (). Statistics for Business and
Economics (11th ed.). : Prentice Hall.

Purchase answer to see full
attachment

  
Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Read more

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Read more

Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

Read more

Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

Read more