cja335 | undergraduate

Research Statistics

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Students learn to perform introductory statistical techniques common to the criminal justice system including descriptive and inferential statistics, correlation, and factor analysis and demonstrate knowledge of the application and limitations of specific statistical tests. Students also analyze and critique the use of statistics in research published by criminal justice researchers.

This undergraduate-level course is 5 weeks To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 5 weeks

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    Statistical Significance and Tests

    • Describe the Z- and T-tests for comparing differences between means.
    • Explain the purpose of chi-square and when to apply it.
    • Explain how descriptive and inferential statistics support the criminal justice research process.
    • Differentiate between descriptive and inferential statistics and how they support the criminal justice research process.
    • Describe how to use ANOVA to compare more than two conditions in research.

    Reporting and Evaluating Statistical Results

    • Assess issues surrounding the collection, analysis, and utilization of statistical data.
    • Critique the use of statistics by criminal justice professionals.
    • Assess the effectiveness of criminal justice research.

    Survey Design and Describing Data

    • Calculate z scores for normally distributed data.
    • Define descriptive statistical measures.
    • Calculate the variance and standard deviation of a population.
    • Compute the confidence interval around a population mean.
    • Develop a survey research design to minimize bias and collect valuable data for criminal justice research.

    Statistics in Criminal Justice

    • Explain how statistics are used in criminal justice.
    • Define descriptive and inferential statistics.
    • Demonstrate an understanding of basic statistical terminology (qualitative, quantitative, variables, mean, median, mode, sample, population, etc.).
    • Differentiate the four levels of measurement.
    • Compute the mean, median, and mode.

    Measuring Correlation and Making Inferences

    • Distinguish among methods of establishing correlation between variables.
    • Interpret the statistical significance of r.
    • Define statistical inference.
    • Explain the logic of hypothesis testing and the role of the null hypothesis.
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    Transferability of credit is at the discretion of the receiving institution. It is the student’s responsibility to confirm whether or not credits earned at University of Phoenix will be accepted by another institution of the student’s choice.