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: Mathematics 30-1 or Mathmatics 30-2 or Pure Mathematics 30, or department approval.
Note: Only one of the Mathematics 1211, 1224, 2233 and 2333 can be used for graduation purpose.