Lecture

Understanding Statistics & Experimental Design

In course

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Description

This lecture covers basic probability theory, signal detection theory, statistics in a nutshell, multiple testing, ANOVA, experimental design, correlations, PCA, meta-statistics, statistical power analysis, conventions about statistical power, retrospective power analysis, t-tests, central limit theorem, metrics, confidence intervals, non-parametric tests, hypothesis testing procedures, popular non-parametric tests, advantages and disadvantages of non-parametric tests, and good and bad practices in statistical analysis.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_piisw38l

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data collection: Statistical sampling

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