[SOLVED] Statistical Analysis of Dataset

This assignment involves analyzing a provided dataset to calculate various statistical measures such as Kurtosis, Skewness, Range, Minimum, Maximum, Sum, and Count. The results are presented in a detailed table format, showing values for each statistical measure. Additionally, confidence levels are calculated and reported. This analysis provides insights into the distribution of the data, helping to understand its characteristics and patterns.

USING DATA TO BUILD
BUSINESS PRACTICE

Table of Contents
INTRODUCTION ..........................................................................................................................3
MAIN BODY...................................................................................................................................3
Analysing the data of TravelPac Q3 in order to gain understanding of patter of travel by Uk
residents ......................................................................................................................................3
Defining the tools and techniques which are similar to business decision making....................5
Method used for the analysis ......................................................................................................5
Results .......................................................................................................................................5
Interpretation of the findings ......................................................................................................9
Recommendation regarding potential target segment..............................................................10
CONCLUSION .............................................................................................................................10
REFERENCES..............................................................................................................................11
APPENDIX...................................................................................................................................12

INTRODUCTION
Business practice is the strategies which are being formulated by the organisation in
order to achieve their goals and objectives in the effective and efficient manner. In the present
study , the data is being provided by TravelPac regarding pattern of travel by UK residents
which assist in identifying the number of travellers which are visiting and leaving UK. The
information provided by International passenger survey about those passengers which are
entering or leaving the UK. Moreover, this assignment will make recommendation about the
potential target segment on the basis of the information which is gained through the survey.
MAIN BODY
Analysing the data of TravelPac Q3 in order to gain understanding of patter of travel by Uk
residents
The data provided by International passenger survey which is is contained in TravelPac
Q3 2017 has provided information regarding the pattern of travellers which are entering and
leaving UK. The data has provided understanding about the various passengers which travel to
different countries for different purpose such as holiday and spending time with friends and
relatives etc.
The data provided by TravelPac can be analysed as follows :
 Year : The data provided in the TravelPac consist the information regarding the travel
occurred during the years 2017 . so the TravelPac has included the information of 2017
travel.
 Quarter : The information contained in the TravelPac regarding the quarter of the year
in which the travel took place. The data for the passengers include the third Quarter of
the year 2017 which is July to September in the which the travel took place.
 Residents : The TravelPac contains the the information regarding the residents which are
travelling to different countries. It means the information regarding the passengers
residential status is being included in the data which has provided information that the
larger number of people which are either UK residents or the non - residents of UK which
are living in some countries for the different purpose. The data involved in TravelPac
provided information that there are larger number of UK and overseas residents which
have travellers in the quarter of July to Sept of the years 2017.

 Mode of travel : It is the way the people reach to their destination and thus different
people uses the different mode of transportation in order to reach their destination as per
their convenience. As per the Data gathered through International passenger survey there
are different mode of travel which are being chosen by different travellers which consist
of Air, sea and tunnel. It can be analysed from the data that most of travellers chose the
air mode of travel to their destination.
 Travelled country : The TravelPac data has provided information regarding country
which are being selected as country for travel by different passenger. The UK and
overseas residents has travelled to different countries which consist of Czech republic,
France, Germany, Irish republic, Italy , Spain,United Arab Emirates etc. Also, It is
analysed that the most visited travel place by the UK and overseas residents are Spain,
Italy and France (Yang and et.al., 2017).
 Purpose : The purpose of Travel state the reason for the travelling to different countries.
The information gathered through the TravelPac state that most of the people visited to
another counties due to several purposes which consist of Holiday, meeting friends and
relatives, business -purpose and for the study (Xu, Frankwick and Ramirez, 2016) .
 Package : It shows the information regarding the independent or non - independent
travellers which means the if he passenger has travelled alone of with some other people.
It has provided information that the people which travelled for holiday purpose were
mostly independent (Merriam and Grenier, 2019).
 Age : The Age group of the people are being considered for the study. the TravelPac has
divided the travellers into different group which consist of 0-15, 16-24, 25-34, 35-44, 45-
54, 55-64 and 65 and above.
 Sex : The TravelPac has provided the information regarding the female and male which
have visited to the different countries during the July to sept quarter.
 Duration : It provide the information regarding the nights which are being spend by the
visitors in another country. It consist of 1-3 nights to 28-90 nights (Johnson and Rohrer,
2018).
 Amount Spent : It shows the amount which is being spent by the UK and overseas
residents on they travel to another country which is between 0 to 215872953.

 Sample Size : For the purpose of study in order to determine the pattern of the travel the
samples are being taken which varied between 1 to 78.
Defining the tools and techniques which are similar to business decision making
The tools and techniques which can be adopted by the organisation that assist in making
the effective decision for the business helps in achieving the goals and objectives of the firm.
The marketing manager in order to make the effective decision for the business can use the
following tools and techniques :
 Swot analysis : It is the technique which can be used by the organisation for making the
effective decision for the growth and success of organisation. this analysis helps the
business in understanding their strength, weakness, opportunity as well as threat for the
organisation on the basis of which the firm is able to make decision which are
appropriate for the organisation (Liggins II, Hall and Llinas, 2017).
 Market research : On the basis of the market research with the help of primary and
secondary technique the manager of the organisation is able to make the effective
decision regarding the profitability of the firm (Noe and et.al., 2017).
Method used for the analysis
For conducting this research in order to identify the pattern of travel the researcher will
use the descriptive analysis on the basis of which it will be able to identify the means, mode,
median and standards deviation (McKenny and et.al., 2017). The descriptive analysis helps in
analysing the in- depth information regarding the data. It is a quantitative technique which is
used for identifying the information regarding the study (Wedel and Kannan, 2016). This
method will assist in identifying the pattern of travel by UK residents.
Results
Mean mode and median and standards deviation on the basis of males
Ye
ar
qu
ar
ter
uk
os
m
od
e
co
un
try
pu
rp
os
e
pa
ck
ag
e
Ag
e
Se
x
du
ra
tio
n
vis
its
ni
gh
ts
sp
en
d
sa
m
pl
e
M
ea
n
20
17
M
ea
n
3 M
ea
n
1.
48
86
M
ea
n
1.
25
25
M
ea
n
42
.5
02
M
ea
n
2.
55
53
M
ea
n
1.
13
24
M
ea
n
4.
10
91
M
ea
n
1.
48
08
M
ea
n
2.
44
92
M
ea
n
39
84
.8
M
ea
n
43
41
4.
M
ea
n
28
01
03
M
ea
n
2.
82
53

25
47
89
14
36
78
15
51
72
4
16
09
2
23
37
16
95
40
23
42
91
19
33
71
65
30
14
20
01
9
26
97
64
56
73
6.
63
56
89
89
11
30
27
M
ed
ia
n
20
17
M
ed
ia
n 3
M
ed
ia
n 1
M
ed
ia
n 1
M
ed
ia
n 35
M
ed
ia
n 2
M
ed
ia
n 1
M
ed
ia
n 4
M
ed
ia
n 1
M
ed
ia
n 2
M
ed
ia
n
16
51
.3
76
M
ed
ia
n
15
05
4.
45
M
ed
ia
n
90
37
16
.4
23
5
M
ed
ia
n 1
M
od
e
20
17
M
od
e 3
M
od
e 1
M
od
e 1
M
od
e 20
M
od
e 1
M
od
e 1
M
od
e 3
M
od
e 1
M
od
e 2
M
od
e 0
M
od
e 0
M
od
e 0
M
od
e 1
St
an
da
rd
De
vi
ati
on 0
St
an
da
rd
D
ev
iat
io
n 0
St
an
da
rd
D
ev
iat
io
n
0.
49
99
00
53
14
St
an
da
rd
D
ev
iat
io
n
0.
54
89
39
73
62
St
an
da
rd
D
ev
iat
io
n
24
.3
27
29
95
26
3
St
an
da
rd
D
ev
iat
io
n
1.
60
26
87
68
86
St
an
da
rd
D
ev
iat
io
n
0.
33
89
70
76
51
St
an
da
rd
D
ev
iat
io
n
1.
73
99
63
05
01
St
an
da
rd
D
ev
iat
io
n
0.
61
23
04
95
6
St
an
da
rd
D
ev
iat
io
n
1.
61
91
90
79
8
St
an
da
rd
D
ev
iat
io
n
10
43
0.
54
57
02
89
76
St
an
da
rd
D
ev
iat
io
n
10
07
38
.4
53
41
25
46
St
an
da
rd
D
ev
iat
io
n
79
77
66
7.
50
49
89
1
St
an
da
rd
D
ev
iat
io
n
5.
69
98
54
40
35
K
urt
osi
s
#
DI
V/
0!
K
urt
os
is
#
DI
V/
0!
K
urt
os
is
-
1.
99
84
06
71
13
K
urt
os
is
3.
30
05
42
51
87
K
urt
os
is
-
1.
05
71
72
34
69
K
urt
os
is
-
1.
28
04
70
22
59
K
urt
os
is
2.
70
65
11
31
82
K
urt
os
is
-
0.
82
60
17
86
4
K
urt
os
is
46
.5
70
82
02
21
9
K
urt
os
is
6.
55
05
66
13
52
K
urt
os
is
18
9.
41
07
35
86
84
K
urt
os
is
86
.8
21
58
81
71
6
K
urt
os
is
19
3.
13
90
48
60
46
K
urt
os
is
15
9.
76
87
84
29
72
Ra 0 Ra 0 Ra 1 Ra 2 Ra 82 Ra 8 Ra 1 Ra 8 Ra 9 Ra 9 Ra 22 Ra 19 Ra 21 Ra 12

ng
e
ng
e
ng
e
ng
e
ng
e
ng
e
ng
e
ng
e
ng
e
ng
e
ng
e
72
98
.5
84
ng
e
28
20
7.
91
8
ng
e
58
72
95
3.
95
5
ng
e 5
Mi
ni
m
u
m
20
17
M
ini
m
u
m 3
M
ini
m
u
m 1
M
ini
m
u
m 1
M
ini
m
u
m 10
M
ini
m
u
m 1
M
ini
m
u
m 1
M
ini
m
u
m 1
M
ini
m
u
m 0
M
ini
m
u
m 0
M
ini
m
u
m 0
M
ini
m
u
m 0
M
ini
m
u
m 0
M
ini
m
u
m 0
Co
nfi
de
nc
e
Le
ve
l(9
5.
0
%) 0
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
) 0
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
01
07
22
58
25
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
01
17
74
44
56
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
52
18
06
75
88
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
03
43
76
74
07
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
00
72
70
73
04
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
03
73
21
21
93
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
01
31
33
59
36
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
03
47
30
72
3
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
22
3.
72
92
81
57
56
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
21
60
.7
82
61
39
68
6
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
17
11
16
.4
37
27
75
24
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
12
22
58
63
99
mean mode , median and standard deviation on the basis of females
Ye
ar
qu
ar
ter
uk
os
m
od
e
co
un
try
pu
rp
os
e
pa
ck
ag
e
Ag
e
Se
x
du
ra
tio
n
vis
its
ni
gh
ts
sp
en
d
sa
m
pl
e

M
ed
ia
n
20
17
M
ed
ia
n 3
M
ed
ia
n 2
M
ed
ia
n 1
M
ed
ia
n
34
.5
M
ed
ia
n 2
M
ed
ia
n 1
M
ed
ia
n 4
M
ed
ia
n 1
M
ed
ia
n 2
M
ed
ia
n
15
52
.0
00
5
M
ed
ia
n
13
84
4.
22
3
M
ed
ia
n
82
56
88
M
ed
ia
n 1
M
od
e
20
17
M
od
e 3
M
od
e 2
M
od
e 1
M
od
e 20
M
od
e 1
M
od
e 1
M
od
e 4
M
od
e 1
M
od
e 2
M
od
e 0
M
od
e 0
M
od
e 0
M
od
e 1
Sa
m
pl
e
Va
ria
nc
e 0
Sa
m
pl
e
V
ari
an
ce 0
Sa
m
pl
e
V
ari
an
ce
0.
24
87
04
54
03
Sa
m
pl
e
V
ari
an
ce
0.
45
29
59
80
52
Sa
m
pl
e
V
ari
an
ce
59
9.
06
11
10
83
27
Sa
m
pl
e
V
ari
an
ce
2.
55
41
89
84
26
Sa
m
pl
e
V
ari
an
ce
0.
11
49
88
94
33
Sa
m
pl
e
V
ari
an
ce
2.
99
67
44
05
Sa
m
pl
e
V
ari
an
ce
0.
36
31
96
86
44
Sa
m
pl
e
V
ari
an
ce
2.
61
72
50
27
6
Sa
m
pl
e
V
ari
an
ce
99
70
41
51
.9
95
16
35
Sa
m
pl
e
V
ari
an
ce
93
18
54
86
48
.7
40
8
Sa
m
pl
e
V
ari
an
ce
58
48
42
70
29
33
89
.8
Sa
m
pl
e
V
ari
an
ce
30
.0
72
20
43
48
2
K
urt
osi
s
#
DI
V/
0!
K
urt
os
is
#
DI
V/
0!
K
urt
os
is
-
1.
97
91
50
96
15
K
urt
os
is
0.
84
13
74
52
32
K
urt
os
is
-
1.
05
80
02
27
98
K
urt
os
is
-
1.
25
37
64
09
05
K
urt
os
is
2.
69
95
48
70
7
K
urt
os
is
-
0.
81
94
84
91
64
K
urt
os
is
45
.0
72
82
47
56
9
K
urt
os
is
6.
68
20
23
36
46
K
urt
os
is
20
5.
68
42
09
89
47
K
urt
os
is
94
.5
60
73
34
54
6
K
urt
os
is
20
8.
77
32
79
68
74
K
urt
os
is
17
0.
21
28
52
26
48
Mi
ni
m
u
m
20
17
M
ini
m
u
m 3
M
ini
m
u
m 1
M
ini
m
u
m 1
M
ini
m
u
m 10
M
ini
m
u
m 1
M
ini
m
u
m 1
M
ini
m
u
m 1
M
ini
m
u
m 0
M
ini
m
u
m 0
M
ini
m
u
m 0
M
ini
m
u
m 0
M
ini
m
u
m 0
M
ini
m
u
m 0
M
ax
im
20
17
M
ax
im
3 M
ax
im
2 M
ax
im
3 M
ax
im
92 M
ax
im
9 M
ax
im
2 M
ax
im
9 M
ax
im
9 M
ax
im
9 M
ax
im
22
72
98
M
ax
im
19
28
20
M
ax
im
21
58
72
M
ax
im
12
5

u
m
u
m
u
m
u
m
u
m
u
m
u
m
u
m
u
m
u
m
u
m
.5
84
u
m
7.
91
8
u
m
95
3.
95
5
u
m
Co
nfi
de
nc
e
Le
ve
l(9
5.
0
%) 0
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
) 0
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
01
01
85
21
16
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
01
37
45
42
05
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
49
98
77
69
88
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
03
26
40
34
83
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
00
69
25
58
14
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
03
53
55
17
77
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
01
23
08
33
32
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
03
30
40
82
06
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
20
3.
93
17
37
84
74
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
19
71
.5
25
21
80
61
8
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
15
61
88
.0
25
95
71
81
C
on
fid
en
ce
Le
ve
l(9
5.
0
%
)
0.
11
19
98
14
51
Mean , Mode , median and standard deviation on the basis of Don't know
In Appendix
Correlation analysis for the cost -benefit
nights spend
nights 1
spend 0.7584663782 1
Interpretation of the findings
From the above calculation it can be interpreted about the mean, mode, median and
standard deviation which are being calculated on the basis of male, females and don't' know.
The means of the males which visited the overseas places was 1.4886. Whereas the mean of the
females was 2 . It can be interpreted about the median of the data which provided that the

median of the males was 1 for the residents of the UK and overseas. Whereas for females it was
2 and for the done know group was 1. The median for the country in which the passengers
travelled was also provided through the descriptive analysis which shows that the male median
for the country was 35 and for the female was 34.5 ( Bell, Bryman and Harley, 2018). The
another statistical term which is identified through the analysis is mode that provide the number
which was frequently used in the data sets. The mode of the country in which the residents
travelled by the males was 20 and for that of the females was 20. Standard deviation is the term
used in the statistical analysis that provide understanding about the dispersion of data. The
standards deviation of the males that travelled overseas was 0.49 and that of females it was 0.24.
The correlation assist in identifying the relationship between the two variables. On the
basis of the study the correlation analysis is performed on the basis of cost- benefit analysis. The
correlation which is calculated is shows that the variables are 75.80%b related to each other.
The positive correlation shows that with the increase in night stay the expenditure spent will also
increase.
Recommendation regarding potential target segment
The marketing manager in order to attract the customers towards the travel packages can
make the strong relationship with them by interacting through use of social media sites. It will
helps the organisation in selling the overseas packages to the British customers. Moreover, the
another recommendation for potential target segment is to take the customer feedback regarding
the travel services and make modification per the feedback received by the customers in order to
attract more customers towards the travel firm. the firm should provide the customers with extra
or complementary services in order to attract the target market.
CONCLUSION
From the above assignment it has concluded about business practices which assist in
formulating the strategies for achieving the goals and objectives of firm. It has provided
information that the business uses the different tools and techniques for making the effective
decision which consist of market research, SWOT analysis etc.

REFERENCES
Books and journals
Bell, E., Bryman, A. and Harley, B., 2018. Business research methods. Oxford university press.
Liggins II, M., Hall, D. and Llinas, J. eds., 2017. Handbook of multisensor data fusion: theory
and practice. CRC press.
Noe, R. A. and et.al., 2017. Human resource management: Gaining a competitive advantage.
New York, NY: McGraw-Hill Education.
McKenny, A. F. and et.al., 2017. How should crowdfunding research evolve? A survey of the
entrepreneurship theory and practice editorial board. Entrepreneurship Theory and
Practice. 41(2). pp.291-304.
Wedel, M. and Kannan, P. K., 2016. Marketing analytics for data-rich environments. Journal of
Marketing. 80(6). pp.97-121.
Johnson, S. and Rohrer, M., 2018. Small Satellites Impact Global Compliance, Standards,
Licensing and Data Access Technology-Build a Business Plan to Address these Impacts.
Merriam, S. B. and Grenier, R. S. eds., 2019. Qualitative research in practice: Examples for
discussion and analysis. Jossey-Bass.
Xu, Z., Frankwick, G. L. and Ramirez, E., 2016. Effects of big data analytics and traditional
marketing analytics on new product success: A knowledge fusion perspective. Journal of
Business Research. 69(5). pp.1562-1566.
Yang, M. and et.al., 2017. Value uncaptured perspective for sustainable business model
innovation. Journal of Cleaner Production. 140. pp.1794-1804.

APPENDIX
Mean , Mode , median and standard deviation on the basis of Don't know
Ye
ar
qu
ar
ter
uk
os
m
od
e
co
un
try
pu
rp
os
e
pa
ck
ag
e
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e
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x
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ra
tio
n
vis
its
ni
gh
ts
sp
en
d
sa
m
pl
e
M
ea
n
20
17
M
ea
n 3
M
ea
n
1.
48
86
25
47
89
M
ea
n
1.
25
25
14
36
78
M
ea
n
42
.5
02
15
51
72
4
M
ea
n
2.
55
53
16
09
2
M
ea
n
1.
13
24
23
37
16
M
ea
n
4.
10
91
95
40
23
M
ea
n
1.
48
08
42
91
19
M
ea
n
2.
44
92
33
71
65
M
ea
n
39
84
.8
30
14
20
01
9
M
ea
n
43
41
4.
26
97
64
56
73
M
ea
n
28
01
03
6.
63
56
89
89
M
ea
n
2.
82
53
11
30
27
St
an
da
rd
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ror 0
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an
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r 0
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0.
00
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3
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00
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60
99
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0.
26
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35
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0.
01
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36
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0.
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09
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68
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11
4.
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31
45
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23
St
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da
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9
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29
3.
25
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18
42
01
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0.
06
23
68
96
25
M
ed
ia
n
20
17
M
ed
ia
n 3
M
ed
ia
n 1
M
ed
ia
n 1
M
ed
ia
n 35
M
ed
ia
n 2
M
ed
ia
n 1
M
ed
ia
n 4
M
ed
ia
n 1
M
ed
ia
n 2
M
ed
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n
16
51
.3
76
M
ed
ia
n
15
05
4.
45
M
ed
ia
n
90
37
16
.4
23
5
M
ed
ia
n 1
M 20 M 3 M 1 M 1 M 20 M 1 M 1 M 3 M 1 M 2 M 0 M 0 M 0 M 1

od
e 17
od
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St
an
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De
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on 0
St
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0.
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0.
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24
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1.
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33
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