Using the UCR tables from 2015 (, CREATE a mock cross-tabulation table in MS Word depicting a minimum of 3 variables; no statistical formulas are necessary for this exercise.

Using the UCR tables from 2015 (, CREATE a mock cross-tabulation table in MS Word depicting a minimum of 3 variables; no statistical formulas are necessary for this exercise.


1) Scanning, within the SARA process, focuses on identifying recurring problems of concern to both the public and the police, prioritizing those problems, and selecting problems for closer examination     2) Scanning also focuses on confirming that the problem exists and identifying the consequences of the problem     3) Youth hanging out at fast food places is an example of Incivilities problem behavior in a recreational environment     4) A robbery at restaurant parking lots, as well as thefts from vehicles on residential streets are examples of a Predatory types of problem behavior in public environments;     5) Assaults at a college dormitory is an example of Conflict problem behavior in a residential environment     6) The number of cases in each category of a variable is considered Frequency     7) Cross-tabulation examines frequency of two variables at once.     8) The count of one category divided by the count of all categories of a variable multiplied by 100 is a Percent     9) One variable is used to determine the relative difference between values of another variable is considered Rate     10) The value with the highest frequency within a variable is the mode     11) The SARA process is important component of both community policing and problem-oriented policing.     12) Long-term problems require a long-term approach to both analysis and response, because the problems addressed are more complex.        13) By specifying the behaviors associated with a problem, the crime analyst can help to pinpoint important aspects of harm, intent, and offender–target relationships     14) Endangerment is one type of behavior.        15) The standard deviation is the standardized, average variation of the values from the mean and helps indicate the shape of a data distribution and determine outliers.    .     Module 11 Video PPT

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