Õ¬ÄÐÊÓƵ

This module aims to provide an introduction to the basic mathematical aspectsÌýand associated data analysis of statistical design and survey sampling, and also to data ethics as a set of principles to guide the design of appropriate data use in academia and the public sector. The module is primarily intended for second and third year students registered on the undergraduate degree programmes offered by the Department of Statistical Science (including the MASS programmes).ÌýFor these students, the academic prerequisites for this module are met through compulsory study earlier in their programme.

Intended Learning Outcomes

• understand the scope of statistical inference in experiments and observational studies;
• be able to plan and execute basic experimental designs;
• be able to analyse data obtained from various designs for experiments, observational studies, and survey sampling;
• understand the main aspects of data ethics, and the importance of data ethics for society;
• be able to apply and reflect on principles to guide the design of appropriate data collection and management.

Applications - Methods for statistical experiments are applied in, for example, medicine, agriculture, science, industry, and market research. Methods for observational studies and survey sampling are applied in, for example, governmental statistics, public health research, opinion polls, science, market research, and industrial quality control. Data ethics are relevant in all situations where data are collected, managed, used or shared.

Indicative Content - Experimental design (planning, common designs, associated data analysis), observational studies (planning, problems of bias and confounding, common designs, data analysis), survey sampling (target and sampled populations, simple random sampling, stratification, cluster sampling), data ethics (privacy, balance between utility and ethical concerns, accountability, general data protection regulation).

Key Texts - Available from .