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, and meta-statistics. It explains how to compare tree heights, perform ANOVA, and interpret F-distribution. Worked examples and assumptions of ANOVA are discussed. The lecture also delves into post-hoc tests like the Scheffé test and repeated measures ANOVA. A hypothetical scenario involving superpowers is used to illustrate statistical concepts. The importance of accurately reporting statistical values and possible solutions to reduce reporting errors are highlighted.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_2nrhcw0k

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

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