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PBHL-B 301 Biostatistics for Health Information Management

3 credits

  • Prerequisites: None
  • Delivery: Online
  • This course introduces the basic principles and methods of data analysis in public health biostatistics. Emphasis is placed on public health examples as they relate to concepts such as sampling, study design, descriptive statistics, probability, statistical distributions, estimation, hypothesis testing, chi-square tests, t-tests, analysis of variance, linear regression and correlation.

    Learning Outcomes

    1. Discuss and apply fundamental statistical terms and concepts.
    2. Calculate univariate measures of central tendency and variation.
    3. Display and interpret data graphically.
    4. Test and interpret hypotheses about sample means and goodness of fit.
    5. Derive and interpret regression analyses.
    6. Generate results with the aid of a computer.