07 Jan 2026 (Available)
Apply by: 06 Jan 2026
In-person: Wednesday 7th January 2026, 09:30-17:00
University of Hertfordshire, Hatfield, Hertfordshire
Course overview
This course introduces the key concepts and principles of experimental design, including orthogonality, bias, confounding, aliasing, blocking, randomisation, and replication. A range of design types commonly used in field, laboratory, clinical and industrial experiments are discussed, including factorial and fractional factorial designs, Latin squares, blocked, repeated measures and crossover designs.
See our full range of courses (and options for bespoke courses) at https://go.herts.ac.uk/sscu or contact the course organiser, Professor Neil Spencer, at statistics@herts.ac.uk.
Funding
£249.00
If you are unable to pay by card and require an invoice, please email statistics@herts.ac.uk.
Why choose Herts?
Over 25 years' experience of delivering quality short courses in Statistics
1st in the UK for support and top 10 in every other section, Postgraduate Taught Experience Survey (PTES), 2024
25 mins north of London: Exciting learning and social experiences within easy access
78% of research ranked as world-leading or internationally excellent, Research Excellence Framework (REF), 2021
Course details
Course leader
Matt Coates
Administrator
Neil Spencer
Telephone
Please email for prompt response
Course delivery
In-person
Downloads
Prerequisites
To make the most of this course, delegates should already have a working knowledge of multiple regression and analysis of variance (ANOVA). Though not essential, it is recommended that delegates first attend either the “Survey Design & Analysis” stream of courses (see here and here) or “Quantitative Data Analysis” stream of courses (see here and here).
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