1,589
6
Statistics Project, 3 pages (550 words)

The prevention of id theft against women while shopping

The prevention of ID Theft against women while shopping Affiliation Characteristics Total Identity Theft Existing Account New Account (%)
Personal Information (%)
Multiple Types (%)
Female
15
13
4
3
5
Male
14
12
4
3
6
Age: 16-24 years old
55
41
16
16
22
25-34 years old
29
25
8
7
13
35-49 years old
19
15
6
3
8
50-64 years old
19
16
5
3
6
65 years old and Above
20
16
5
3
7
Source: Langton & Michael Planty, (2010)
From the data presented above, it is clearly depicted that female in shopping malls suffer more from identity theft cases than men do. Further from the same statistics, most of the affected individuals fall in the age of between 16 and 24 year. In fact, 55% of the affected people are within this age group, with women being the majority. This age group is then followed closely by people of the age of 25-34 years of age, who account for 29 per cent. It seems that due to increase in one’s age, the ability to fall victim of identity theft decrease. People aged between 35 and 49 years and 50-64 account for only 19 per cent each. The implication here could be that these people are mature enough to determine possible threats and they can therefore avoid cases of identity theft. The aged people fall victim even more frequently due to their inability to take care of themselves. Like women, they would prefer seeking assistance regarding the tasks that could lead to identity theft.
This data is further analysed using SPSS as follows:
One-Sample Statistics
N
Mean
Std. Deviation
Std. Error Mean
Total Identity Theft
7
24. 4286
14. 32780
5. 41540
Existing Account
7
19. 7143
10. 29100
3. 88963
New Account
7
6. 8571
4. 25944
1. 60992
Personal Information
7
5. 4286
4. 89412
1. 84980
Multiple Types
7
9. 5714
6. 07885
2. 29759
From the SPSS output on one-sample statistics, the mean value for all victims of identity theft irrespective of the specific characteristic is 24. 429 with a standard deviation of 14. 327.
One-Sample Test
Test Value = 0
t
df
Sig. (2-tailed)
Mean Difference
95% Confidence Interval of the Difference
Lower
Upper
Total Identity Theft
4. 511
6
. 004
24. 42857
11. 1776
37. 6796
Existing Account
5. 068
6
. 002
19. 71429
10. 1967
29. 2319
New Account
4. 259
6
. 005
6. 85714
2. 9178
10. 7965
Personal Information
2. 935
6
. 026
5. 42857
. 9023
9. 9549
Multiple Types
4. 166
6
. 006
9. 57143
3. 9494
15. 1934
The table above is an SPSS output of the data depicting the test of significant using one-tailed t test. From the analysis, all variables are significant in explaining the model. Besides, from the ANOVA statistics are variables are also found to be significant in explaining the model. The ANOVA statistics is as shown below:
ANOVA
Sum of Squares
df
Mean Square
F
Sig.
ExistingAccount
Between Groups
634. 929
5
126. 986
253. 971
. 048
Within Groups
. 500
1
. 500
Total
635. 429
6
NewAccount
Between Groups
108. 357
5
21. 671
43. 343
. 115
Within Groups
. 500
1
. 500
Total
108. 857
6
PersonalInformation
Between Groups
143. 714
5
28. 743
.
.
Within Groups
. 000
1
. 000
Total
143. 714
6
MultipleTypes
Between Groups
219. 714
5
43. 943
21. 971
. 161
Within Groups
2. 000
1
2. 000
Total
221. 714
6
References
Langton, L., & Michael Planty. (2010,). National Crime Victimization Survey Supplement: Victims of Identity Theft, 2008. Bureau of Justice Statistics: Special Report, NCJ 231680, 1-20.

Thank's for Your Vote!
The prevention of id theft against women while shopping. Page 1
The prevention of id theft against women while shopping. Page 2
The prevention of id theft against women while shopping. Page 3
The prevention of id theft against women while shopping. Page 4
The prevention of id theft against women while shopping. Page 5
The prevention of id theft against women while shopping. Page 6
The prevention of id theft against women while shopping. Page 7
The prevention of id theft against women while shopping. Page 8
The prevention of id theft against women while shopping. Page 9

This work, titled "The prevention of id theft against women while shopping" was written and willingly shared by a fellow student. This sample can be utilized as a research and reference resource to aid in the writing of your own work. Any use of the work that does not include an appropriate citation is banned.

If you are the owner of this work and don’t want it to be published on AssignBuster, request its removal.

Request Removal
Cite this Statistics Project

References

AssignBuster. (2021) 'The prevention of id theft against women while shopping'. 29 December.

Reference

AssignBuster. (2021, December 29). The prevention of id theft against women while shopping. Retrieved from https://assignbuster.com/the-prevention-of-id-theft-against-women-while-shopping/

References

AssignBuster. 2021. "The prevention of id theft against women while shopping." December 29, 2021. https://assignbuster.com/the-prevention-of-id-theft-against-women-while-shopping/.

1. AssignBuster. "The prevention of id theft against women while shopping." December 29, 2021. https://assignbuster.com/the-prevention-of-id-theft-against-women-while-shopping/.


Bibliography


AssignBuster. "The prevention of id theft against women while shopping." December 29, 2021. https://assignbuster.com/the-prevention-of-id-theft-against-women-while-shopping/.

Work Cited

"The prevention of id theft against women while shopping." AssignBuster, 29 Dec. 2021, assignbuster.com/the-prevention-of-id-theft-against-women-while-shopping/.

Get in Touch

Please, let us know if you have any ideas on improving The prevention of id theft against women while shopping, or our service. We will be happy to hear what you think: [email protected]