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Case Study 49: Property Crimes

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Case Study 49: Property Crimes
First M Last
(firstlast@mail.com)

For
Professor Beintema
Managerial Statistics (GM533)
Keller School of Management
August 2010

I. Executive summary
Our study examined data provided by various U.S. government agencies on property crime rates in the fifty U.S. states and eight possible contributing factors such as per capita income, high school dropout rate, average precipitation, population density, and urbanization. Our analysis revealed that of the eight possible contributing factors, only three variables (namely, urbanization rate, high school dropout rate, and population density) affected property crime rates. Our data analysis model accounted for approximately 66% of the factors contributing to property crimes. The model is generally considered to be statistically strong, however, if we need to account for the remaining 34% of factors contributing to property crime rates in the U.S., further data and evaluation of other possible factors would be necessary.

II. Introduction According to the US Department of Justice (2006), property crime includes several criminal offenses such as burglary; car and motorcycle theft, larceny theft and arson. Property crimes involve “taking of money or property, but there is no force or threat of force against the victims.” One exception to the basic rule, however, is arson which does not involve the taking of property and does involve force against the victims.
The purpose of this case study is to evaluate available data and attempt to determine the variables that contribute the most and address several conceptions and misconceptions about the leading causes of property crimes in the U.S. The questions that this study will answer include: 1. Are crime rates higher in urban than rural areas? 2. Does unemployment or education level contribute to property crime

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