18.75 Dr M P Ng Double semester. 52 hours of lectures and 50 hours of practical work. Upon completion of this subject, the student should: comprehend the fundamental concepts of confidence interval and hypothesis test, and the basic principles of experimental design; have developed skills to carry out simple exploratory data analysis, recognize basic experimental designs and apply standard statistical analysis; appreciate the application of computer software in statistical analysis. Elementary descriptive statistics. Basic probability theory. Random variables and their basic properties. Standard probability distributions: Binomial, Poisson, uniform, normal. The Central Limit Theorem. Point and interval estimation of parameters of probability distributions. Hypothesis testing: critical region, size and power. Applications of the normal, t and X² distributions. Linear regression and an introduction to multiple regression. Analysis of variance and the Kruskal-Wallis test. Design of experiments: one- and two-way classification, factorial designs, analysis of residuals. Use of the computer in statistical analysis, with special reference to the statistical package MINITAB. A 2-hour examination at the end of Semester 1 and a 3-hour examination at the end of Semester 2. Up to six assignments per semester will also be assessed.