Statistics for Public Health

Catalog description

This course emphasizes the calculation, interpretation, and application of descriptive and inferential statistics in public health science, population-based research and practice, and related fields. Topics include statistical principles and use of probability techniques, hypothesis testing, and predictive techniques to facilitate evidence-based practices. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests. Application of statistical concepts will incorporate data from public health sources including research and governmental datasets. The use and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings will be covered.