Abstract
The study focuses on statistical analysis of causes of crimes in Mathare slums, Nairobi county using data collected via questionnaires in April 2018.The Correlation analysis was carried out to explain the association between the causes of crimes while the principal component analysis (PCA) was used to reduce the dimensionality of the data sets. The Correlation analysis indicates a fairly strong positive relationship between unemployment and drugs and substance abuse which means that their variables can be used to predict one another. PCA analysis reveals that three PCs (drugs and substance abuse, unemployment and neglect from parents) that explains about 52.6% of the total variability of the causes of crimes against person are suggested to be retained. Similarly, two PCs (drugs and substance abuse and unemployment) that explain about 42.2% of the total variability of the causes of crimes against property are suggested to be retained. Generally, the causes of crimes against person and property in Mathare slums are not unique.
Highlights
Crime can be defined as an unlawful act punishable by state or any other authority
Police siding with criminals and political or racial differences have the least influence on crimes against property with mean scores of about 3.596 and 3.396 respectively
The political or racial differences variable has the highest number of undecided respondents of whether it’s a cause of crimes against property in Mathare slums
Summary
The objective of the study is to carry out a principal component analysis of crime in Mathare slums, Nairobi County. The specific objectives of this study are:. The main objective of this study was to carry out a statistical analysis of the causes of crimes committed in Mathare slums
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