Statistics I

Catalog description

This is the first course in a sequence of two courses designed to provide a broad overview of statistics and its applications to research in the health sciences. Topics covered will include techniques for describing and summarizing observations, for assessing associations among variables, and for determining the extent to which chance may be explaining and/or influencing the observed results. Following inference and basic hypothesis tests, bivariate and multivariable linear modeling techniques will be introduced with an emphasis on application and interpretation, diagnostics and model selection. Emphasis is on application of these techniques to the analysis of health science data. Students will learn how to choose, apply, and interpret commonly used statistical tests and predictive models. Students will be working with a common existing dataset throughout the sequence. In addition, students will gain experience using a commonly used statistical software package, to analyze real world data.