Lecture

Understanding Statistics & Experimental Design

In course

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Description

This lecture covers various topics in statistics, including basic probability theory, signal detection theory, ANOVA, experimental design, correlations, PCA, and meta-statistics. It discusses the importance of planning multiple tests in advance, the power of ANOVA compared to other methods, and the challenges of multiple comparisons. The instructor emphasizes the need for simplicity in experimental design and the importance of power analysis. The lecture also explores examples related to tree heights, brain training programs, and orientation discrimination tasks.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_8p8x2e71

About this result

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Statistical hypothesis testing

Mathematics

Probability theory: Topics in probability theory

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