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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the design and analysis of experiments, focusing on comparison statistics. It starts with checking if an experimental factor affects a measured response, then delves into hypothesis testing methodologies like t-tests and ANOVA. The ANOVA methodology is explained, followed by an example of blood coagulation based on diet. The lecture also discusses ANOVA table generation, interpretation of F-ratio values, correlation analysis, and linear regression. Key topics include the Pearson correlation, coefficient of determination, and handling outliers in regression analysis.