COURSE DESCRIPTION:

Covers the theory of discrete and continuous random variables (Binomial, Uniform and Normal Distributions), random sampling, estimation of population parameters, chi-square distribution, and hypothesis testing.

RATIONALE:

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 analyzing 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.