CJUS 3350Writing Assignment
Directions:Using the data set provided in the Writing Assignment Folder (UCR violent crime for the US by region/state in 2017), conduct the appropriate analysis techniques we have covered during the course between one comparable local evariable (regions/states) and five other interval level variables of your choosing.To be clear, please choose 5 of the variables provided-note that totals and rates per 100,000 represent two different variables. Thus, columns C through U represent the variables you should choose from in selecting your 5. Once the analyses are completed, write a brief 2 page summary of the findings and discuss potential reasons of said findings. Note these do not have to be the actual reasons, I simply want you to critically think about and discuss what could be causing the correlations logically and discuss in some detail. The writing assignment MUST be submitted to my UNT Dallas email address (firstname.lastname@example.org). The assignment must be TYPED with 12 point Times New Roman font, 1 inch margins, and Double Spaced.Procedure (i.e., steps):
1)Review the Introduction to Excel power Point posted in the Canvas course that is located under the Writing Assignment folder.
2)Download the dataset entitled “UCR Violent Crime in the US by Region for 2017.”
3)Determine which comparable locales you want to compare your five variables on (e.g., regions or select states).Make sure they are comparable; as an example, populations will not be equal, however, it would not be comparable to compare a state with a massive population and one with a small.
4)Chose five variables to analyze chosen locale against.a.For example, you may choose large states and analyze whether state size predicts homicide rates, number of aggravated assaults, etc.
5)Determine significance in the data using the appropriate analysis techniques for the data.
6)Discuss potential causes for each significance/non-significance finding. Note these potential causes are hypotheses and are not either correct or false.
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