MATH 500 Biostatistics

This course intends to give the student an idea of what medical research is about and what the role of biostatistics is in the process. Included in this course of study is the review of different types of descriptive statistics, principles of probability and various probability models, and inferential statistics used in biomedical practice. Major topics include contingency table analysis, simple and multiple linear regressions, Analysis of Variance (ANOVA) and Logistic regression. The emphasis of this class is on learning how to summarize, analyze, and interpret real-world data, and to prepare students for their future courses and careers by introducing these statistical methods most often used in medical literature.

Credits

3.0

Prerequisite

MATH 210 or equivalent.