GM 533
Applied Managerial Statistics
April 15, 2010
To: Mr. Livingston
Date: April 15, 2010
Subject: Analysis of Property Crimes
Per your request, we have analyzed the content of Case #49: Property Crimes. There are many preconceived ideas about Property Crimes. Property Crimes do not involve force, but the taking of property or money and is considered to some to be a “high-volume” crime. Property crime would include the taking of jewelry, money, electronics, motor vehicles, cash, and other high priced items.
We were given the task of analyzing the data and answering the following questions:
1. Are crime rates higher in urban than rural areas?
2. Does unemployment or education level contribute to property crime rates?
3. Does public assistance contribute to property crime rates?
The results are as follows:
Data:
We are allowed access to a data set containing the following information:
1. Crimes: Property crime rate per hundred thousand inhabitants. The crimes include burglary, larceny, theft, and motor vehicle theft. The calculations for the crimes are noted as the number of property crimes divided by the total population (100,000).
2. P-income: P-income is the per capita income for each state (All 50 states are included in this data set).
3. Dropout: This shows the high school dropout rate.
4. Precipitation: This shows the average precipitation in inches in the major city in each state.
5. Public Aid: This shows the percentage of public aid recipients.
6. Density: The density includes the population/total square miles.
7. Kids: This shows the public aid for families with children and dollars per family.
8. Unemployment: This shows the percentage of unemployed workers.
9. Urban: This shows the percentage of residents living in urban areas.
10. State: All 50 states are included in this
