Assignment 3: Measures of Crime
Measuring enormity can be a trying scheme. By its very sort, enormity is triton that goes undetected. Law enforcement has plain a medley of techniques to course enormity, such as police reverberations and martyr reverberations. The Federal Bureau of Investigation (FBI) uses the Uniform Enormity Reporting (UCR) Program for courseing enormity; it reverberations enormity in more than one way. All enormity reverberationing and courseing schemes categorize enormity and own firm limitations.
Measuring enormity involves courseing statistics such as demographic notice and chairman fickles cognate to the enormitys. Chairman fickles are any third fickle in a interrelation that affects the correlativeness between the leading two fickles. For development, we may meet that gender is cognate to vehement enormity after a while a preferable percentage of males attractive in vehement manner. However, a chairman fickle would be age, after a while the chief percentage of vehement offenders substance adown the age of 30.
Research US enormity statistics using the Argosy University online library media and the Internet. You can besides use the following:
US Department of Justice, The Federal Bureau of Investigation. (2009). 2008 enormity in the United States: About enormity in the U.S. Retrieved from http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2008
Select a enormity and transcribe a reverberation addressing the following:
Summarize the statistics from the conclusive two reverberationing years. Be firm to enclose demographic notice such as ethnicity, career, age, gender, hymeneal foundation, tenure foundation, socioeconomic order, etc., and chairman fickles cognate to the enormity.
Examine the reliability and hardness of these statistics. Are they complimentary? Why or why not? Be firm to examine how age, gender, career, ethnicity, and socioeconomic equalize are cognate to offending and representation in the iniquitous reasonableness scheme.
Explain whether firm populations are overrepresented in the statistics. If so, why?