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Lecture
ANOVA & Moderation
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Related lectures (30)
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Analysis of Variance: ANOVA
Covers Analysis of Variance (ANOVA) to compare means of multiple groups efficiently.
Statistics Essentials: The t-test
Introduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.
Neural Signals and Signal Processing
Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.
Experimental Research Design: T-Test Analysis
Explores digital lesson development, experimental research, t-tests, ANOVA, and statistical analysis using R.
Introduction to Fractional Factorial Designs
Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.
Understanding Statistics & Experimental Design
Covers basic probability theory, ANOVA, experimental design, and correlations, emphasizing the importance of planning multiple tests and power analysis.
Design of Experiments Basics
Covers the fundamentals of Design of Experiments (DOE) and experimental strategies.
Statistical Inference
Covers likelihood ratio statistic, confidence intervals, and hypothesis testing concepts.
Analysis of Variance (ANOVA)
Covers Analysis of Variance (ANOVA) for assessing categorical variable effects on quantitative outcomes.
Hypothesis Testing: State of Nature
Explores hypothesis testing, emphasizing the state of nature and the importance of choosing the most powerful test.
