Year of Study:	2
Credit Units:	3
Duration:	45hours
Prerequisites:	Nil

This module provides students with the basic statistical knowledge and skills needed to analyse and interpret data for practical applications. Selected topics include descriptive statistics, estimation, hypothesis testing and regression analysis. Applications to real-life problems are provided. At the end of the module, students are also able to summarise, interpret and evaluate quantitative results and statistical graphs.

Upon completion of this module, students should be able to:

1. analyse data by using simple statistical measure and statistical graphs;


2. have a basic knowledge of estimation and hypothesis testing, and apply estimation and hypothesis tests in real-life problems;


3. have a basic knowledge of linear regression and multiple regression, and apply regression analysis in real-life problems; and


4. perform statistical analysis with computer software, and interpret and evaluate quantitative results and statistical graphs.