* Course Project GM533 Applied Managerial Statistics Professor Cook February 14, 2011 TO: FROM: DATE: February 14, 2011 SUBJECT: Analysis of Factors that Affect Property Crime Rates I have analyzed the data of the factors that affect property crime rates in the United States. Here are my results. Data The data provided included; crime rate per hundred thousand inhabitants (which included burglary, larceny, theft, and motor vehicle theft), pincome- per capita income for each state
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What variables affect the difference in crime rates throughout the neighborhoods of a city? By Anna Burns Introduction: This project is a focus on how variables such as population, ethnicity, and income affect crime rates throughout different neighborhoods throughout a city. I feel that this information finding this information could be useful to many people. For example if you are looking to buy a new home or even start a new business, you’ll probably want it located in a safe neighborhood
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Property Crimes Case Study # 49 Applied Managerial Statistics: GM533 Virginia Davis, Lauren Holder, Stanley Philip and Andrea Watson Executive Summary The Property Crimes study examined data provided by various U.S. government agencies on crime rates in the fifty U.S. states. Other data studied were eight possible contributing factors such as per capita income, high school dropout rate, average precipitation, population density, and urbanization. Analysis revealed, of the eight possible
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Descriptive Statistics for Crimes Variable N N* Mean SE Mean StDev Minimum Median Maximum Range Mode CRIMES 50 0 4559 174 1232 2107 4366 7820 5713 5705.7 N for Variable Mode CRIMES 2 [pic] [pic] [pic] [pic] [pic] [pic] [pic] One-Sample Z The assumed standard deviation = 1232 N Mean SE Mean 95% CI 50 4559 174 (4218, 4900) One-Sample T N Mean StDev SE Mean 95% CI 50 4559
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| Crime in the United States | Data Analysis Project | | Brad Davidson | | 12/2/2010 | | Executive Summary This purpose of this report is to answer the question, “what variables affect the level of crime in the United States?” With so many possible influences, the goal of this analysis will be to narrow the scope to the items which we feel will be most statistically significant when gauging the effect on the level of crime. The regression analysis methodology is best suited
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1980s there was rash of property crimes in the United States. Business executives and community leaders was taken at back. They chose to look for and find these determinants of property crimes and figure out how to remedy those issues. The task at hand was to provide evidence for or against common perceptions about property crime. Prove if crime rates are higher in urban areas or rural areas. Whether unemployment or education levels contributed to property crime rates, as well as public assistance
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Property Crimes Andrea K. Wallace GM533 Professor Beintema Keller Graduate School of Management October 16, 2011 Executive Summary After examining the eight variables that attribute to property crimes, the three variables that effect crime are density, dropout and urban. When density increases by 1%, this would cause a decrease in crime rate. When the dropout rate increases by 1%, this would cause an increase in property crimes. When urban area crimes increase by 1%, the property crime rate
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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
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CASE 49: PROPERTY CRIMES I. Executive summary The focus of this study is the examination of the data provided by U.S government agencies. 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
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Statistical Analysis and the common perception of property crime This project will determine whether or not a relationship exists between various variables as they pertain to, or not, property crime. Property crime affects everyone in the population, directly or indirectly. The ability to understand and predict indicators (independent variables) of property crime can help focus the finite assets of society and the government to reduce, or in a utopic vision eliminate, property crime. To help
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