Lecture

Experimental Design: Strategies and Analysis

In course

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Description

This lecture covers experimental design strategies such as one-factor-at-a-time, full factorial, and fractional factorial approaches, emphasizing the importance of factors, responses, treatment combinations, replication, randomization, and confounding. It also discusses the interpretation of graphical outputs and the calculation of degrees of freedom and mean squares in experimental results.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_exb5dn0w

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Data collection: Experiment

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