The University of Southampton
Courses

# STAT6086 Sampling Techniques

## Module Overview

The aim of this module is to introduce you to the statistical aspects associated with the design and analysis of sample surveys, and to develop your understanding of the principles and methods used to design survey sampling schemes. Basic theory underpinning survey inference will be introduced, focussing on methodology for survey-based estimation for population totals and related quantities for some standard sample designs

### Aims and Objectives

#### Module Aims

To introduce you to the statistical aspects of the design and analysis of sample surveys. Basic theory underpinning survey inference will be introduced, focussing on methodology for survey-based estimation for population totals and related quantities for some standard sample designs.

#### Learning Outcomes

##### Learning Outcomes

Having successfully completed this module you will be able to:

• The basic principles underlying survey design and estimation.
• Methods for designing and selecting a sample from a population.
• How to estimate finite population parameters, e.g. totals and means, for some standard sampling schemes.
• How to assess estimation errors.
• The ability to analyse and solve problems
• The use of the statistical software STATA.

### Syllabus

The module takes a design-based approach to inference for survey populations. Topics include: survey estimation strategy, target populations and sampling frames, methods of sampling (probability vs non-probability sampling), simple random sampling, inclusion probabilities, unequal probability sampling, stratified sampling, ratio and regression estimation, systematic sampling, cluster sampling, two-stage sampling.

### Learning and Teaching

#### Teaching and learning methods

The module consist of lectures, computer workshops, tutorials and independent study. The computer workshops aim to show how to implement the methodology covered in the lectures. There are also tutorials where we go through past exam questions. Students are also expected to read wider than the lecture material as part of their individual study, and to critically appraise different approaches. References are given at the end of some lectures.

TypeHours
Independent Study150
Total study time150

L. C. Hamilton (2008). Statistics with Stata (Updated for Version 10).

W. G. Cochran (1977). Sampling Techniques.

Software requirements. You will require access to the STATA software, which is available on the University’s computer workstations. Note that this software is not currently available for download to your own computer for use with your studies.

Lohr, S. (2010). Sampling: Design and Analysis.

Sampling: Design and Analysis.

C. E. Sarndal, B. Swensson, J. H. Wretman (1992). Model Assisted Survey Sampling.

### Assessment

#### Summative

MethodPercentage contribution
Exam  (2 hours) 100%

#### Referral

MethodPercentage contribution
Exam 100%

#### Repeat Information

Repeat type: Internal & External