ST205      Half Unit
Sample Surveys and Experiments

This information is for the 2024/25 session.

Teacher responsible

Professor Irini Moustaki

Availability

This course is compulsory on the BSc in Politics and Data Science. This course is available on the BSc in Accounting and Finance, BSc in Data Science, BSc in Management, BSc in Mathematics, Statistics and Business, International Exchange (1 Term) and International Exchange (Full Year). This course is available as an outside option to students on other programmes where regulations permit and to General Course students.

This course cannot be taken with ST307 Aspects of Market Research.

Pre-requisites

Statistics to the level of ST107 Quantitative Methods or SP201 Research Methods for Social Policy.

Course content

Sampling methods for social surveys. Survey design and estimation. Nonresponse and measurement error. Design of experiments and observational studies. 

Teaching

This course will be delivered through a combination of classes and lectures totalling a minimum of 30 hours in Autumn Term. This course includes a reading week in Week 6 of Autumn Term.

Formative coursework

Weekly exercises and group presentations. Students are expected to work on exercises weekly and submit them for marking and feedback. Feedback is provided on the weekly exercises by the beginning of the next class. Students will gain hands-on experience using R to solve problems.

Indicative reading

  • S. Lohr, Sampling: Design and Analysis (2021)
  • V. Barnett, Sample Survey Principles and Methods (2009)
  • F.J. Fowler Jr, Survey Research Methods (2008). 
  • R.L.Scheaffer et al, Elementary Survey Sampling (2005)

Assessment

Exam (80%, duration: 2 hours) in the January exam period.
Coursework (20%) in the AT.

Note: The coursework is a group project.

Key facts

Department: Statistics

Total students 2023/24: 58

Average class size 2023/24: 12

Capped 2023/24: No

Value: Half Unit

Guidelines for interpreting course guide information

Course selection videos

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Personal development skills

  • Self-management
  • Team working
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Specialist skills