Abstract

Probability and Statistics is a topic that is, in many cases, unpopular among students, and assessment surveys show that the Department of Engineering Mathematics at the University of Bristol is no exception. There are several reasons for this, some of which are low tractability of the subject (caused partly by the fact that there is no immediate parallel in deterministic mathematics), difficult formulas that arise from `nowhere', or the belief about the relevance to real life. The aim of this project is to change this widespread opinion, enliven the lectures, and show students that Probability and Statistics are indeed tractable and applicable in practice.

The project focuses on the use of Computer Aided Learning (CAL) and Computer Aided Assessment (CAA) in statistics lectures. It includes the creation of a set of computer demonstrations that should present problems in a lively and illustrative manner, and preparing a database of multiple choice sample questions in probability and statistics for the Test and Learn (TAL) system. The computer demonstrations, which are placed at students' disposal, should also encourage them to examine the functionality and source code of these examples. The set of multiple choice questions entered in the TAL system is an extensive source for examples presented in lectures, sample tests which should help students to practise their knowledge, as well as possible questions in their examination.

Besides the core focus on the usage of information technology in statistics teaching, other ideas like work on statistical projects and reading scientific statistical articles are discussed.

The project work is directly connected to the unit element `Engineering Mathematics 2 (EMa2) - Applied Statistics'. EMa2 is a core second year unit for engineering students. However, the created materials can be of good use in other units of similar content.

The webpage associated to this project contains all the created materials, Internet links to other useful sources, and this project text. Follow the link below:

http://linux.fjfi.cvut.cz/~pinus/bristol/statistics/

In case that the webpage is not available, and you would still like to access the materials, please contact the author by e-mail at jaroslav.borovicka@centrum.cz.

I would like to thank Dr Mike D J Barry for his help, solicitous supervision, and valuable comments on this project.