This course explores descriptive and inferential analyses of scientific data sets, data management and verification, exploratory data analysis, handling missing data, identification and treatment of outliers, and data transformations. Students evaluate data using the assumptions and appropriate application of parametric and non-parametric tests, model fitting and verification, simulation, and the proper interpretation and presentation of results.
Prerequisites
Admission to the PhD in Veterinary Biomedical Science.
Semester Offered
Spring