Report on Using Numeracy and ICT Skills in Research and Analysis

This report comprehensively examines the application of Information and Communication Technology (ICT) and numeracy skills in research, focusing on the analysis of domestic violence data from 2010 to 2020. It begins by defining ICT and its role in data collection, specifically highlighting the use of secondary data sources and various ICT techniques like informative and constructive tools. The main body of the report then details the relevant numerical techniques employed, including mean, median, mode, and standard deviation, to analyze the collected data. Furthermore, it demonstrates how these techniques are applied and presents the results in an appropriate format using tables and figures. The report concludes by summarizing the key findings and emphasizing the importance of ICT and numeracy skills in modern research methodologies.

Using Numeracy and
ICT Skills in Research

Table of Contents
INTRODUCTION...........................................................................................................................4
MAIN BODY...................................................................................................................................4
Demonstration of the use of selected ICT techniques when carrying out the research including
searching for secondary data relevant to topic............................................................................4
Identification and application of the relevant numerical techniques to analyse the given data. .5
Choosing and presenting the results in an appropriate format, using textual, table or figures...6
CONCLUSION .............................................................................................................................11
REFERENCES..............................................................................................................................12

INTRODUCTION
This report focuses on importance of information and communication technology in recent years.
Technology have played vital role in making things easier for individual and it also help in
bringing effectiveness and efficiency in completion of task. Technology have made work easier
and it help in achieving goals and objectives effectively and efficiently. Information and
communication technology help people in all aspects of life which provide new and better ways
for people to interact and it also helps in accessing and gaining information. Information and
communication technology played vital role in every sector organisation for example in retail
sector consumers can buy or sell their good or services online with the help of their mobile
phones and tablets. Technology also assist in bringing comfort to their lives and making the
process easy and smooth of completing the work or task. Virtual reality, artificial intelligence is
considered as part of buyers which help in gaining instant and interactive access to products and
also help in providing the information regarding attributes of product and its features. This report
focuses on use of Information and Communication Technology in collecting information from
2010 to 2020 for domestic violence by using various numerical techniques (Aunio, 2019).
MAIN BODY
Demonstration of the use of selected ICT techniques when carrying out the research including
searching for secondary data relevant to topic
ICT which is explained as Information and Communication technology is defined as
technologies that helps in providing information to users by the help of cell phones, networks
etc. Information and Communication technology is considered as similar to Information
technology but ICT mainly focuses on communication technologies. Information and
communication technology have provided several new communication mode which help in
effectively communicating with people which are in different countries and introduction of
information and communication technology have enabled effective way of communicating with
people. This part of report focuses on Information and Communication technology techniques
which are used by researcher during research for this topic and the type of data which is
collected and gathered is secondary data (Cammeraat, Samek and Squicciarini, 2021). With the
help of ICT secondary data is collected and data is collected for the domestic violence in London
from 2010-2020.

Data which for this topic is collected by secondary source of data and secondary data is
explained as data which is collected by the help of newspapers, blogs, articles etc. This type of
data is collected from various sources and it gives researcher a lot of information and options to
collect data. Secondary data help researcher in making its vision wide and it help in
understanding scope of topic on which researcher is doing its research. Secondary data involves
large amount of data as many researcher have done research on same topic. Information and
Communication technology is the best way through which information is collected and stored.
There are various techniques that are used in Information and Communication technology
and these techniques are mentioned below:
Informative tool
Informative tool is explained as process of collecting data which is stored from various sources
and it help researcher in getting various information which is related to other sources. Purpose of
this tool is to provide information from various sources and it is used by researcher to use this
stored information according to their need and preference. There are several examples of this
tool such as Internet, Intranet, system etc. This tool is considered as effective and efficient tool
for researcher as it assist researcher in finding appropriate information about their topic and
according to their need (Carpentieri, 2017).
Constructive tool
Constructive tool is explained as tool used by researcher in order to store information which is
gathered and collected through various sources. There are different sources which are used for
storage of data and example of this tool are MS word, Power point etc. These tools are used by
researcher to store their data which is collected by researcher for their topic. These type of tools
focuses on storing data and help in keeping it safe for future use and it also help researcher in
analysing previous data and comparing it with present data.
Both these tools are utilised by researcher during their research and these tools are used to store
and collect data. Secondary data is explained as source of data which can be gathered from
various sources and which can be used for different purposes according to need of researcher
(Goos and et. al., 2020).
These techniques assist researcher in gathering data about domestic violence from 2010-2020.

Identification and application of the relevant numerical techniques to analyse the given data
There are various numerical and statistical techniques which are used such as quantitative
variables, ratios and percentages, mean, median, mode and standard deviation. These are some
techniques which are used to analyse data and interpret the results on the basis of analysed data.
Implementation of these techniques and how these techniques are utilised are mentioned below:
Mean
Mean is one of the essential concept in mathematics and statistics to analyse and interpret data.
Mean is explained as average or most common value in collection of numbers. Mean is
explained as central tendency of distribution of probability in median and mode. Its use majorly
implemented in finance as it is used for various fields related to finance. There are different ways
to calculate mean such as arithmetic mean which is sum of total total values in collection of
numbers and divided by numbers of numbers in collection. Another type of the mean is
geometric mean in which nth root of product of all numbers in a collection. These both methods
help in analysing data and focuses on interpretation of data (Greenberg Ginsburg and Wrigley,
2017).
Median
Median is explained as middle number in a sorted, ascending or descending order, list of
numbers and it can be more descriptive of that data set than the average. Median is also used to
opposed the mean when there are outliers in sequence that might skew of values.
Mode
Mode is explained as value that appears most frequently in data set and it is possible that one
data set may have one mode or more than one mode (Radovan, 2018).
Standard Deviation
Standard deviation is explained as process that help in measuring data set relative to its mean and
calculated as the square root of the variance.
Choosing and presenting the results in an appropriate format, using textual, table or figures
2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Mean
3748.
63636
36364 Mean
3966.
63636
36364 Mean 4121 Mean
4437.
09090
90909 Mean
4540.
81818
18182 Mean
4902.
81818
18182 Mean
4720.
54545
45455 Mean
5063.
45454
54546 Mean
5440.
63636
36364 Mean
5461.
81818
18182
Stand
ard
880.3
51110
Stand
ard
965.1
99482
Stand
ard
987.5
19353
Stand
ard
1061.
77307
Stand
ard
1086.
19758
Stand
ard
1184.
22274
Stand
ard
1103.
56843
Stand
ard
1190.
58881
Stand
ard
1172.
31766
Stand
ard
1161.
67797

Error 4587 Error 6575 Error 09 Error 50071 Error 63968 Error 33153 Error 80774 Error 05062 Error 77205 Error 77404
Media
n 2792
Medi
an 2948
Medi
an 3115
Medi
an 3416
Medi
an 3748
Medi
an 4136
Medi
an 4092
Medi
an 4452
Medi
an 4327
Medi
an 4309
Mode 729 Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A
Stand
ard
Devia
tion
2919.
79431
71644
Stand
ard
Devia
tion
3201.
20453
18201
Stand
ard
Devia
tion
3275.
23116
7414
Stand
ard
Devia
tion
3521.
50290
23003
Stand
ard
Devia
tion
3602.
50984
22678
Stand
ard
Devia
tion
3927.
62250
77821
Stand
ard
Devia
tion
3660.
12243
95814
Stand
ard
Devia
tion
3948.
73636
40445
Stand
ard
Devia
tion
3888.
13783
89334
Stand
ard
Devia
tion
3852.
84997
93836
Sampl
e
Varia
nce
85251
98.85
45454
5
Samp
le
Varia
nce
10247
710.4
54545
5
Samp
le
Varia
nce
10727
139.2
Samp
le
Varia
nce
12400
982.6
90909
1
Samp
le
Varia
nce
12978
077.1
63636
4
Samp
le
Varia
nce
15426
218.5
63636
4
Samp
le
Varia
nce
13396
496.2
72727
3
Samp
le
Varia
nce
15592
518.8
72727
3
Samp
le
Varia
nce
15117
615.8
54545
5
Samp
le
Varia
nce
14844
452.9
63636
4
Kurto
sis
-
1.593
82953
13
Kurto
sis
-
1.407
68545
71
Kurto
sis
-
1.301
39179
17
Kurto
sis
-
1.264
84057
78
Kurto
sis
-
1.402
81234
75
Kurto
sis
-
1.470
89064
37
Kurto
sis
-
1.515
86903
82
Kurto
sis
-
1.496
58276
51
Kurto
sis
-
1.411
47104
71
Kurto
sis
-
1.245
90997
05
Skew
ness
0.271
10989
45
Skew
ness
0.369
35484
61
Skew
ness
0.340
04257
65
Skew
ness
0.301
76737
04
Skew
ness
0.232
71527
52
Skew
ness
0.190
01099
12
Skew
ness
0.143
75407
66
Skew
ness
0.113
19054
37
Skew
ness
0.161
84619
57
Skew
ness
0.175
54717
07
Range 8088
Rang
e 9260
Rang
e 9689
Rang
e 10489
Rang
e 10537
Rang
e 11352
Rang
e 10534
Rang
e 11296
Rang
e 11523
Rang
e 11677
Mini
mum 12
Mini
mum 20
Mini
mum 25
Mini
mum 24
Mini
mum 34
Mini
mum 27
Mini
mum 40
Mini
mum 54
Mini
mum 80
Mini
mum 67
Maxi
mum 8100
Maxi
mum 9280
Maxi
mum 9714
Maxi
mum 10513
Maxi
mum 10571
Maxi
mum 11379
Maxi
mum 10574
Maxi
mum 11350
Maxi
mum 11603
Maxi
mum 11744
Sum 41235 Sum 43633 Sum 45331 Sum 48808 Sum 49949 Sum 53931 Sum 51926 Sum 55698 Sum 59847 Sum 60080
Count 11 Count 11 Count 11 Count 11 Count 11 Count 11 Count 11 Count 11 Count 11 Count 11
2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Mean
3748.
63636
36364 Mean
3966.
63636
36364 Mean 4121 Mean
4437.
09090
90909 Mean
4540.
81818
18182 Mean
4902.
81818
18182 Mean
4720.
54545
45455 Mean
5063.
45454
54546 Mean
5440.
63636
36364 Mean
5461.
81818
18182
Stand
ard
Error
818.7
48615
7959
Stand
ard
Error
902.0
49568
0064
Stand
ard
Error
931.1
85354
071
Stand
ard
Error
988.6
02691
1716
Stand
ard
Error
1015.
37521
78667
Stand
ard
Error
1114.
77995
23443
Stand
ard
Error
1066.
00446
32657
Stand
ard
Error
1130.
03559
36762
Stand
ard
Error
1112.
73924
31026
Stand
ard
Error
1096.
65630
49742
Media
n 3285
Medi
an 3673
Medi
an 3951
Medi
an 4786
Medi
an 4981
Medi
an 5442
Medi
an 5285
Medi
an 5637
Medi
an 5625
Medi
an 5577
Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A
Stand
ard
Devia
tion
2715.
48195
6218
Stand
ard
Devia
tion
2991.
75995
93793
Stand
ard
Devia
tion
3088.
39242
97278
Stand
ard
Devia
tion
3278.
82419
33518
Stand
ard
Devia
tion
3367.
61861
90892
Stand
ard
Devia
tion
3697.
30682
57363
Stand
ard
Devia
tion
3535.
53682
94967
Stand
ard
Devia
tion
3747.
90406
39706
Stand
ard
Devia
tion
3690.
53855
88753
Stand
ard
Devia
tion
3637.
19748
7577
Sampl
e
73738
42.25
Samp
le
89506
27.65
Samp
le
95381 Samp
le
10750
688.0
Samp
le
11340
855.1
Samp
le
13670
077.7
Samp
le
12500
020.6
Samp
le
14046
784.8
Samp
le
13620
074.8
Samp
le
13229
205.5

Varia
nce
45454
5
Varia
nce
45454
5
Varia
nce 67.8
Varia
nce
90909
1
Varia
nce
63636
4
Varia
nce
63636
4
Varia
nce
72727
3
Varia
nce
72727
3
Varia
nce
54545
5
Varia
nce
63636
4
Kurto
sis
-
1.884
86620
78
Kurto
sis
-
1.870
86185
92
Kurto
sis
-
1.787
20435
78
Kurto
sis
-
1.762
88781
4
Kurto
sis
-
1.777
16971
05
Kurto
sis
-
1.772
92041
05
Kurto
sis
-
1.680
86119
49
Kurto
sis
-
1.701
09571
53
Kurto
sis
-
1.683
68693
46
Kurto
sis
-
1.530
63324
82
Skew
ness
0.016
34826
79
Skew
ness
0.044
77508
91
Skew
ness
0.003
62092
53
Skew
ness
-
0.071
63540
71
Skew
ness
-
0.072
53598
35
Skew
ness
-
0.098
97498
9
Skew
ness
-
0.065
80326
21
Skew
ness
-
0.105
52314
88
Skew
ness
-
0.057
93566
56
Skew
ness
-
0.010
30219
25
Range 7096
Rang
e 7991
Rang
e 8471
Rang
e 9054
Rang
e 9270
Rang
e 9883
Rang
e 9597
Rang
e 10019
Rang
e 10228
Rang
e 10446
Mini
mum 42
Mini
mum 55
Mini
mum 57
Mini
mum 49
Mini
mum 51
Mini
mum 75
Mini
mum 105
Mini
mum 147
Mini
mum 133
Mini
mum 152
Maxi
mum 7138
Maxi
mum 8046
Maxi
mum 8528
Maxi
mum 9103
Maxi
mum 9321
Maxi
mum 9958
Maxi
mum 9702
Maxi
mum 10166
Maxi
mum 10361
Maxi
mum 10598
Sum 41235 Sum 43633 Sum 45331 Sum 48808 Sum 49949 Sum 53931 Sum 51926 Sum 55698 Sum 59847 Sum 60080
Count 11 Count 11 Count 11 Count 11 Count 11 Count 11 Count 11 Count 11 Count 11 Count 11
2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Mean 8267 Mean
8746.
6 Mean
9086.
2 Mean
9781.
6 Mean
10009
.8 Mean
10806
.2 Mean
10405
.2 Mean
11159
.6 Mean
11989
.4 Mean 12036
Stand
ard
Error
4549.
29435
51728
Stand
ard
Error
4553.
71162
01749
Stand
ard
Error
4964.
87111
84949
Stand
ard
Error
5552.
08612
69446
Stand
ard
Error
5628.
82889
69416
Stand
ard
Error
6121.
74493
11352
Stand
ard
Error
5174.
27726
35666
Stand
ard
Error
6026.
91788
31823
Stand
ard
Error
6081.
88906
71342
Stand
ard
Error
6069.
22207
60548
Media
n 2607
Medi
an 4168
Medi
an 3251
Medi
an 2670
Medi
an 3301
Medi
an 3761
Medi
an 7044
Medi
an 4405
Medi
an 8410
Medi
an 8689
Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A
Stand
ard
Devia
tion
10172
.5314
27822
4
Stand
ard
Devia
tion
10182
.4087
32641
7
Stand
ard
Devia
tion
11101
.7893
2048
Stand
ard
Devia
tion
12414
.8419
96781
6
Stand
ard
Devia
tion
12586
.4440
47276
6
Stand
ard
Devia
tion
13688
.6378
06933
1
Stand
ard
Devia
tion
11570
.0356
95766
4
Stand
ard
Devia
tion
13476
.5980
81604
7
Stand
ard
Devia
tion
13599
.5173
85724
8
Stand
ard
Devia
tion
13571
.1931
32601
Sampl
e
Varia
nce
10348
0395.
65003
4
Samp
le
Varia
nce
10368
1447.
59857
9
Samp
le
Varia
nce
12324
9726.
11632
3
Samp
le
Varia
nce
15412
8301.
80505
3
Samp
le
Varia
nce
15841
8573.
75522
6
Samp
le
Varia
nce
18737
8805.
00939
9
Samp
le
Varia
nce
13386
5726.
00130
8
Samp
le
Varia
nce
18161
8695.
85311
Samp
le
Varia
nce
18494
6873.
12463
1
Samp
le
Varia
nce
18417
7283.
04235
7
Kurto
sis
-
3.101
22283
8
Kurto
sis
-
3.136
70694
52
Kurto
sis
-
2.747
52058
92
Kurto
sis
-
2.321
17245
72
Kurto
sis
-
1.863
64482
74
Kurto
sis
-
1.289
27962
52
Kurto
sis
-
2.233
94410
82
Kurto
sis
-
2.743
82349
46
Kurto
sis
-
1.152
96660
32
Kurto
sis
-
1.148
60474
55
Skew
ness
0.592
67287
Skew
ness
0.504
09945
08
Skew
ness
0.638
07135
11
Skew
ness
0.745
27842
57
Skew
ness
0.808
66003
82
Skew
ness
0.907
24035
99
Skew
ness
0.524
54383
68
Skew
ness
0.621
37045
88
Skew
ness
0.728
71242
16
Skew
ness
0.713
47366
17
Range 20445 Rang 20432 Rang 23215 Rang 26448 Rang 27510 Rang 30555 Rang 25559 Rang 28272 Rang 31376 Rang 31358

.0496
01325
5 e
.8966
17255
8 e
.2756
65399
2 e
.4168
79795
4 e
.0614
81735
6 e
.9826
58959
5 e
.0429
12526
2 e
.2063
63441
4 e
.0747
12755
4 e
.0943
55042
7
Mini
mum
46.95
03986
745
Mini
mum
48.10
33827
442
Mini
mum
44.72
43346
008
Mini
mum
42.58
31202
046
Mini
mum
40.93
85182
644
Mini
mum
39.01
73410
405
Mini
mum
42.95
70874
738
Mini
mum
44.79
36365
586
Mini
mum
38.92
52872
446
Mini
mum
38.90
56449
573
Maxi
mum 20492
Maxi
mum 20481
Maxi
mum 23260
Maxi
mum 26491
Maxi
mum 27551
Maxi
mum 30595
Maxi
mum 25602
Maxi
mum 28317
Maxi
mum 31415
Maxi
mum 31397
Sum 41335 Sum 43733 Sum 45431 Sum 48908 Sum 50049 Sum 54031 Sum 52026 Sum 55798 Sum 59947 Sum 60180
Count 5 Count 5 Count 5 Count 5 Count 5 Count 5 Count 5 Count 5 Count 5 Count 5
2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Mean 35729 Mean 37510 Mean 38696 Mean 41499 Mean 41833 Mean 44961 Mean 41927 Mean 44951 Mean 46439 Mean 45916
Stand
ard
Error 0
Stand
ard
Error 0
Stand
ard
Error 0
Stand
ard
Error 0
Stand
ard
Error 0
Stand
ard
Error 0
Stand
ard
Error 0
Stand
ard
Error 0
Stand
ard
Error 0
Stand
ard
Error 0
Media
n 35729
Medi
an 37510
Medi
an 38696
Medi
an 41499
Medi
an 41833
Medi
an 44961
Medi
an 41927
Medi
an 44951
Medi
an 46439
Medi
an 45916
Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A Mode #N/A
Stand
ard
Devia
tion
#DIV
/0!
Stand
ard
Devia
tion
#DIV
/0!
Stand
ard
Devia
tion
#DIV
/0!
Stand
ard
Devia
tion
#DIV
/0!
Stand
ard
Devia
tion
#DIV
/0!
Stand
ard
Devia
tion
#DIV
/0!
Stand
ard
Devia
tion
#DIV
/0!
Stand
ard
Devia
tion
#DIV
/0!
Stand
ard
Devia
tion
#DIV
/0!
Stand
ard
Devia
tion
#DIV
/0!
Sampl
e
Varia
nce
#DIV
/0!
Samp
le
Varia
nce
#DIV
/0!
Samp
le
Varia
nce
#DIV
/0!
Samp
le
Varia
nce
#DIV
/0!
Samp
le
Varia
nce
#DIV
/0!
Samp
le
Varia
nce
#DIV
/0!
Samp
le
Varia
nce
#DIV
/0!
Samp
le
Varia
nce
#DIV
/0!
Samp
le
Varia
nce
#DIV
/0!
Samp
le
Varia
nce
#DIV
/0!
Kurto
sis
#DIV
/0!
Kurto
sis
#DIV
/0!
Kurto
sis
#DIV
/0!
Kurto
sis
#DIV
/0!
Kurto
sis
#DIV
/0!
Kurto
sis
#DIV
/0!
Kurto
sis
#DIV
/0!
Kurto
sis
#DIV
/0!
Kurto
sis
#DIV
/0!
Kurto
sis
#DIV
/0!
Skew
ness
#DIV
/0!
Skew
ness
#DIV
/0!
Skew
ness
#DIV
/0!
Skew
ness
#DIV
/0!
Skew
ness
#DIV
/0!
Skew
ness
#DIV
/0!
Skew
ness
#DIV
/0!
Skew
ness
#DIV
/0!
Skew
ness
#DIV
/0!
Skew
ness
#DIV
/0!
Range 0
Rang
e 0
Rang
e 0
Rang
e 0
Rang
e 0
Rang
e 0
Rang
e 0
Rang
e 0
Rang
e 0
Rang
e 0
Mini
mum 35729
Mini
mum 37510
Mini
mum 38696
Mini
mum 41499
Mini
mum 41833
Mini
mum 44961
Mini
mum 41927
Mini
mum 44951
Mini
mum 46439
Mini
mum 45916
Maxi
mum 35729
Maxi
mum 37510
Maxi
mum 38696
Maxi
mum 41499
Maxi
mum 41833
Maxi
mum 44961
Maxi
mum 41927
Maxi
mum 44951
Maxi
mum 46439
Maxi
mum 45916
Sum 35729 Sum 37510 Sum 38696 Sum 41499 Sum 41833 Sum 44961 Sum 41927 Sum 44951 Sum 46439 Sum 45916
Count 1 Count 1 Count 1 Count 1 Count 1 Count 1 Count 1 Count 1 Count 1 Count 1
2011 2012 201 2014 201 201 2017 2018 201 202

3 5 6 9 0
Mea
n
200
90 Mean
215
53.5
Mea
n
224
16 Mean
241
86.5
Mea
n
24772.
5
Mea
n
268
83.5 Mean
258
37.5 Mean
277
54
Mea
n
286
85
Mea
n
286
43
Stan
dard
Erro
r
160
49
Standard
Error
165
98.5
Stan
dard
Erro
r
170
22
Standard
Error
181
87.5
Stan
dard
Erro
r
17978.
5
Stan
dard
Erro
r
189
47.5
Standard
Error
171
64.5
Standard
Error
181
28
Stan
dard
Erro
r
184
40
Stan
dard
Erro
r
179
85
Med
ian
200
90 Median
215
53.5
Med
ian
224
16 Median
241
86.5
Med
ian
24772.
5
Med
ian
268
83.5 Median
258
37.5 Median
277
54
Med
ian
286
85
Med
ian
286
43
Mod
e
#N/
A Mode
#N/
A
Mod
e
#N/
A Mode
#N/
A
Mod
e #N/A
Mod
e
#N/
A Mode
#N/
A Mode
#N/
A
Mod
e
#N/
A
Mod
e
#N/
A
Stan
dard
Devi
ation
226
96.7
134
625
258
Standard
Deviation
234
73.8
238
150
498
Stan
dard
Devi
atio
n
240
72.7
432
587
148
Standard
Deviation
257
21.0
091
656
607
Stan
dard
Devi
atio
n
25425.
43853
11247
Stan
dard
Devi
atio
n
267
95.8
114
730
642
Standard
Deviation
242
74.2
686
913
53
Standard
Deviation
256
36.8
634
586
995
Stan
dard
Devi
atio
n
260
78.0
980
901
599
Stan
dard
Devi
atio
n
254
34.6
309
192
801
Sam
ple
Vari
ance
515
140
802
Sample
Variance
551
020
404.
5
Sam
ple
Vari
ance
579
496
968
Sample
Variance
661
570
312.
5
Sam
ple
Vari
ance
64645
2924.5
Sam
ple
Vari
ance
718
015
512.
5
Sample
Variance
589
240
120.
5
Sample
Variance
657
248
768
Sam
ple
Vari
ance
680
067
200
Sam
ple
Vari
ance
646
920
450
Kurt
osis
#DI
V/0! Kurtosis
#DI
V/0!
Kurt
osis
#DI
V/0! Kurtosis
#DI
V/0!
Kurt
osis
#DIV/
0!
Kurt
osis
#DI
V/0! Kurtosis
#DI
V/0! Kurtosis
#DI
V/0!
Kurt
osis
#DI
V/0!
Kurt
osis
#DI
V/0!
Ske
wne
ss
#DI
V/0! Skewness
#DI
V/0!
Ske
wne
ss
#DI
V/0! Skewness
#DI
V/0!
Ske
wne
ss
#DIV/
0!
Ske
wne
ss
#DI
V/0! Skewness
#DI
V/0! Skewness
#DI
V/0!
Ske
wne
ss
#DI
V/0!
Ske
wne
ss
#DI
V/0!
Ran
ge
320
98 Range
331
97
Ran
ge
340
44 Range
363
75
Ran
ge 35957
Ran
ge
378
95 Range
343
29 Range
362
56
Ran
ge
368
80
Ran
ge
359
70
Mini
mu
m
404
1 Minimum
495
5
Mini
mu
m
539
4 Minimum
599
9
Mini
mu
m 6794
Mini
mu
m
793
6 Minimum
867
3 Minimum
962
6
Mini
mu
m
102
45
Mini
mu
m
106
58
Max
imu
m
361
39 Maximum
381
52
Max
imu
m
394
38 Maximum
423
74
Max
imu
m 42751
Max
imu
m
458
31 Maximum
430
02 Maximum
458
82
Max
imu
m
471
25
Max
imu
m
466
28
Sum
401
80 Sum
431
07 Sum
448
32 Sum
483
73 Sum 49545 Sum
537
67 Sum
516
75 Sum
555
08 Sum
573
70 Sum
572
86
Cou
nt 2 Count 2
Cou
nt 2 Count 2
Cou
nt 2
Cou
nt 2 Count 2 Count 2
Cou
nt 2
Cou
nt 2
Above data explains about domestic violence figures in UK between year 2010-2020 and data
has been used to calculate mean, median, mode and standard deviation for the data.

CONCLUSION
This report help in conclude about importance of Information and Communication
technology and how ICT is assisting in making communication effective and efficient.
Information and Communication technology have raised the communication capabilities and in
the era of digitalisation Information and Communication technology played vital role in
connecting to people which are sitting in other countries. This report also help in concluding
about importance of Information and Communication technology in collecting the data for
domestic violence in London from 2010-2020 and different techniques and tools which are used
by researcher to conduct their research effectively and efficiently.

REFERENCES
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Cammeraat, E., Samek, L. and Squicciarini, M., 2021. Management, skills and productivity.
Carpentieri, J. D., 2017. Producing credible evidence and relevant evaluations: Integrating skills
and practices in the study of adult literacy and numeracy policies and programmes
(Doctoral dissertation, UCL (University College London)).
Goos, M., and et. al., 2020. Numeracy across the curriculum: Research-based strategies for
enhancing teaching and learning. Routledge.
Greenberg, D., Ginsburg, L. and Wrigley, H. S., 2017. Research updates: Reading, numeracy,
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pp.83-94.
Radovan, M., 2018. HOW TO IMPROVE ADULT LITERACY AND NUMERACY SKILLS?
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Rausch, A., and et. al., 2017. Exploring the possibilities of online assessment of early numeracy
in kindergarten. In Proceedings of the 41st Conference of the International Group for the
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