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Statistical Concepts in Public Health 1

4th term
Online Programs for Applied Learning
3 credits
Academic Year:
2021 - 2022
Instruction Method:
Auditors Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
John McGready

Biostatistics forms the foundation for quantitative reasoning and methods in public health. All students who study public health need at least a conceptual level treatise of the subject. This course, and its follow-up, fulfill this need.

Provides students with a broad overview of Biostatistical methods and concepts used in the public health sciences. Emphasizes the interpretation and conceptual foundations of statistical estimation and inference. Covers summary measures, measures of association, confidence intervals, p-values, and statistical power.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Provide examples of different types of data arising in public health studies
  2. Suggest and interpret appropriate numerical and visual measures to summarize data for a given data type and study design
  3. Calculate standard normal scores and resulting probabilities
  4. Distinguish between variability individual study observations and variability in sample summary measures across multiple studies of individual observations
  5. Calculate and interpret confidence intervals for single population measures (means, proportions, incidence rated) and for measure of association comparing two populations (differences in means, differences in proportions, relative risk, odds ratio, incidence rate ratio)
  6. Interpret p-values from hypothesis tests, and connect these results to the corresponding confidence intervals
  7. Explain the factors that determine the statistical power of a study designed to compare two or more populations
Methods of Assessment:

Homework assignments: 50%; Quizzes: 30%; Final exam: 20%

Enrollment Restriction:

Restricted to students in OPAL degree and certificate programs

Instructor Consent:

No consent required