(3 credits – TG) 4 hours lecture, 1 hour lab
This course involves descriptive statistics and some basic theory of probability including Bayes’ Rule, expectation, probability distribution (binomial, Poisson, normal) and sampling distributions. Confidence interval and hypothesis testing are introduced.
Prerequisite: Pure Mathematics 30 or equivalent with a grade of 60% or higher; or Mathematics 0130, 1283 or 1285 with a grade of C or higher or consent of department.
Note: Only one of the Mathematics 1211, Mathematics 1224, Mathematics 2233 and Mathematics 2333 can be used for graduation purpose.