Survey Sampling

Module code: MTH7019P

Credits: 15.0
Semester: SEM2

Contact: Dr Hugo Maruri-Aguilar

- The module will commence with an overview of the basic principles of sampling, types of surveys, their applications, and the importance of representative samples and sources of bias in surveys.

- The following lessons will cover Simple Random sampling, Stratified sampling, Cluster Sampling, and Systematic Sampling

- The rest of the module will focus on diagnostics for the efficacy of the techniques above, particularly covering Sampling Bias, Sampling Error, Estimation, Weighting, and Adjustment.

The delivery will be centered around realistic cases and the use of R (potentially presenting Python syntax as a complement).

Connected course(s): UDF DATA
Assessment: 80.0% Examination, 20.0% Coursework
Level: 7