Module Identifier MX37510 Module Title THEORY AND PRACTICE OF SAMPLING Academic Year 2000/2001 Co-ordinator Mr D A Jones Semester Semester 2 Pre-Requisite MX36510 Mutually Exclusive MA27510 Course delivery Lecture 15 x 1hour lectures Practical 4 x 2 hour practical classes Seminars / Tutorials 3 x 1hour example classes Assessment Survey report 60% Course work 40% Resit assessment 2 Hours (practical examination) Survey report 50% 2 hour practical examination (during which candidates may consult their notes) 50%

General description
This module considers the theory of finite sampling along with related matters of survey and questionnaire design. A sample survey will be carried out (and its results analysed) by the members of the class.

Aims
This module considers the theory of drawing samples from finite populations, and gives students experience of practical sampling.

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

• describe the theory of finite sampling;
• carry out calculations of sample size necessary to achieve predefined goals;
• draw samples of appropriate kinds from populations;
• conduct a survey and analyse the resulting data.

Syllabus
1. INTRODUCTION: Census and sample survey design. Population, sample and unit; sample frame; pilot surveys; startification. Bias and non-sampling errors; non-response.
2. FINITE SAMPLING THEORY: Basic ideas and theory of simple random sampling. Finite population corrections. Comparison of sampling designs. Quota, cluster, systematic and multistage methods of sampling.
3. EXAMPLES: Social, agricultural and industrial censuses and surveys. Questionnaire design.
4. ANALYSIS OF SAMPLE SURVEYS: Estimation of means, variance, totals, proportions in samples from finite populations; theory of simple random sampling, extensions to stratified sampling; optimal sampling when total sample size or total cost is fixed; models for cost functions. Use of additional information; ratio and regression methods of adjustment.