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Lecture
Understanding Statistics & Experimental Design
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.
Official source
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