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How might this apply to our understanding of a variable such as crime rates in major cities or incarceration rates for minorities across counties?

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Fudging the Data: Imagine that you are a researcher for an urban police department and you have conducted an evaluation of a youth crime reduction initiative. The program’s director asks you to exclude certain cases from your published analysis. This will benefit the members of the department who designed the program and may also lead to increased funding for the program in the future. Your results will be widely disseminated. There are important ethical and scientific objections to ‘fudging data.” Suggest one of each, clearly identifying one as ethical and one as scientific.

Descriptive Statistics: When summarizing interval-ratio variable data using descriptive statistics, what do we lose in our understanding of a sample if we just report the mean and not any measures of dispersion such as the interquartile range or standard deviation? How might this apply to our understanding of a variable such as crime rates in major cities or incarceration rates for minorities across counties?

T and Z Tests: Suggest a criminal justice or criminological hypothesis that could be tested using a two sample t test (difference of means) or Z test (difference of proportions).

Hypothesis Testing: How does hypothesis testing help support the fields of criminology or criminal justice science as sciences that employ the scientific method? Give two specific examples based on your studies in other courses or from the peer reviewed literature.

Linear Regression: Discuss the reasons and identify two situations in which criminology or criminal justice researchers would want to use linear regression. How would a researcher know whether linear regression was the appropriate statistical technique to use? What are some of the benefits of fitting the relationship between two variables to an equation for a straight line?

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