Statistics is a tool which has as its primary function the task of extracting information from data.  It allows for the making of optimally valid decisions in real-world situations.

It is, therefore, desirable that any statistics course should reflect the practical nature of the subject.  Students should be engaged in realistic project exercises, so that they will be able to obtain data most economically, extract optimal information from the data and use the extracted information to make decisions.

The subject matter is flexible enough to address the needs of the student wishing to pursue more advanced studies as well as the needs of the student proceeding directly into the work place.  It is also important to students in interpreting and analysing events in a modern society.

This Statistical Analysis course places emphasis on understanding concepts, practical applications, student-driven projects and continuous assessment.  The use of technology is encouraged and the student will be expected to report findings in appropriate statistical language and form.

In essence, the Statistical Analysis course is designed to:

• Promote habits of valid decision making by addressing appropriate methods of data collection and analysis;
• Foster desirable qualities of enquiry, open-mindedness, creativity, self-reliance and the appreciation of Statistics as a useful tool for dealing with uncertainty;
• Facilitate access to courses as the tertiary level which require Statistics as a pre-requisite.

The syllabus aims to:

• Equip students with tools of data collection, data organisation and data analysis in order to make valid decisions and predictions;
• Develop the confidence need to employ statistical tools for decision making, to solve real-world problems and to understand information;
• Assist in the development of research skills needed for productive employment, recreation and life-long education;
• Encourage the use of appropriate statistical language and form in written and oral presentations;
• Enhance the use of technology;
• Develop an appreciation of the aesthetic nature and usefulness of statistical procedures;
• Enable access to courses at the tertiary level.

Statistical Analysis is a 1-Unit course, organised in three Modules.  Each Module requires 50 contact hours.

• Module 1: Collecting and Describing Data
• Module 2: Managing Uncertainty
• Module 3: Analysing and Interpreting Data