Statistical Analysis Of Campus Crime

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Statistical Analysis of Campus Crime Reported by Xing Huang Abstract The report sets out two hypothesizes to examine whether the factors—acceptance rate, campus size, private and number of admin staff—have a influence on the number of both 2010 and 2011 burglaries. The purpose of this report is to provide evidence for city managers to deal with the campus crime. The analysis indicates that city managers should carry out a more effective program for private schools to protect students from campus crime, and schools should limit the number of admin staff in order to address the issue of campus crime. Introduction This report is focus on the campus crime, particularly the burglaries happened on campus. According to the annual data collected…show more content…
Data Set The data analyzed in this report is from The Campus Safety and Security Data Analysis Cutting Tool. Such data are collected from “the OPE Campus Safety and Security Statistics website database to which crime statistics and fire statistics (as of the 2010 data collection) are submitted annually, via a web-based data collection, by all postsecondary institutions that receive Title IV funding (i.e., those that participate in federal student aid programs)”. The key variables are based on different universities in United States. Each university has different acceptance rate, campus size, the number of admin staff. Additionally, the data concludes both private and public schools. Also whether the school is located in the urban area is counted in this dataset as well. The measurement of those variables is well-defined interval, which is taken annually. Analysis In this report, the main concern is about the annual number of burglary on campus. Then we collected the number of burglary in different schools in the year of 2010 and 2011. In the first analysis, three independent variables are measured. The first is the acceptance rate, and the second is the campus size. The last one is private, which is a dummy variable coded 1 if the school is private and coded 0 if the school is not private. My research hypothesis and null hypothesis are stated below: H1: when acceptance rate and campus size are controlled,
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