Description
This course is designed for students of biology, its allied disciplines, medicine or other health related areas. The course would motivate students to master the statistical methods that are most often used in the medical literature. It starts with an introduction of biostatics and its role in biomedical research, and proceeds through descriptive statistics, probability, statistical inference, to the concept of drawing random samples from populations. Basic methods of estimation, including confidence intervals will also be presented. Other topics would include hypothesis testing, nonparametric statistics, regression analysis, and analysis of variance (ANOVA). Methods of design for epidemiological studies and methods of analysis for person-time data would similarly be discussed. Prerequisite: A grade of C or better in MATH1220 or an equivalent course or satisfactory placement score. Offered: Spring.