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Scholars Journal of Physics, Mathematics and Statistics | Volume-8 | Issue-01
A Statistical Outlook into the Distribution of Crimes in Nigeria Using Principal Component Analysis
Guobadia Emwinloghosa Kenneth
Published: Jan. 20, 2021 | 122 83
DOI: 10.36347/sjpms.2021.v08i01.001
Pages: 1-7
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Abstract
This paper analyses Nigeria crime data which consists of the averages of 50 crimes reported to the police for the period 2009 – 2019. The offenses include robbery, car theft, breakage of houses and stores, theft/stealing, serious accident and injury, murder, rape and assault, etc. Correlation analysis and main component analysis (PCA) were used to clarify the relationship between crimes and to assess the distribution of crimes in Nigeria. The result shows that on the average there are 14600.33 crimes in 2009, 14437.83 crimes in 2010, 14942.92 crimes in 2011, 12904.83 crimes in 2012, 12063.42 crime in 2013, 10342.58 crimes in 2014, 6677.667 crimes in 2015, 10602.75 crimes in 2016, 9357.75 crimes in 2017, 9093 crimes in 2018 and 14600.33 crimes in 2019. The result has shown that there is no significant correlation among Crimes against Persons which means that none of the variables can be used to predict or explain one another. The correlations among Crimes against Property are at least moderate. However, there are significant correlations among murder, armed robbery, grievous harm and wounding. There is also a significant correlation among assault, kidnapping, attempted murder, thief/ other stealing, store breaking, house breaking and escape from lawful arrest. The PCA has suggested retaining six components that explain about 95.24 percent of the total variability of the data set.