Module Identifier MA26510 Module Title STATISTICAL METHODS Academic Year 2000/2001 Co-ordinator Dr J A Lane Semester Semester 1 Pre-Requisite MA11310 Mutually Exclusive MX36510 Course delivery Lecture 11 x 1hour lectures Practical 11 x 2 hour practical classes Assessment Exam 3 Hours (practical examination) 60% Course work 40% Resit assessment 3 Hours (practical examination) 100%

General description
There is an increasing demand in the workplace for personnel skilled in the routine analysis and interpretation of data. This module covers the basic skills of a practising statistician and includes also the preparation of reports.

Aims
This module will give students a thorough grounding in the methods used by a practical statistician.

Learning outcomes
On completion of this module, a student should be able to:

• summarise effectively a set of data;
• identify the statistical techniques appropriate to analysing a given situation;
• carry out standard statistical procedures;
• draw conclusions from an analysis of data and write reports concerning these conclusions.

Syllabus
1. BASIC IDEAS: Interpretation of data presented in numerical and graphical forms. Standard errors of means, proportions, sums and differences.
2. CONFIDENCE STATEMENTS: Construction and interpretation of confidence limits for means, rates and proportions. Confidence limits for the difference between parameters.
3. HYPOTHESIS TESTING: Hypothesis tests; interpretation of p-values. Paired and unpaired two sample tests.
4. NONPARAMETRIC METHODS: Use of non-parametric and distribution-free significance tests for paired and unpaired data.
5. STATISTICAL PROCESS CONTROL: Basic ideas.
6. LINEAR REGRESSION: Fitting straight lines; estimation and tests for slope and intercept. Prediction.