MATH 2333 – Statistics for Life Sciences (formerly MATH 3333)

(3 credits – TG) 3 hours lecture, 1 hour tutorial

This course involves exploratory data analysis, a brief introduction to probability theory and inferential statistics. Topics include inferences on population means and proportions, chi-square test, regression and correlation. Applications of these statistical methods to problems in medical and health sciences are studied.

Prerequisite: Pure Mathematics 30 or equivalent, or department approval.

Note: Only one of the Mathematics 1211, Mathematics 1224, Mathematics 2233 and Mathematics 2333 can be used for graduation purpose.