Glossary of experimental design

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Related lectures (32)

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Understanding Statistics & Experimental Design

Covers basic probability theory, ANOVA, experimental design, and correlations, emphasizing the importance of planning multiple tests and power analysis.

Understanding Statistics & Experimental Design

Provides an overview of basic probability theory, ANOVA, t-tests, central limit theorem, metrics, confidence intervals, and non-parametric tests.

Understanding Statistics & Experimental Design

Covers basic probability theory, ANOVA, experimental design, and statistical reporting errors.

Model Building: Analysis of Means

Explores model building using analysis of means to predict removal rates and adhesion strength.

Fractional Factorial Design and Analysis

Explores exploiting redundancies, confounding effects, and analyzing fractional factorials in experimental designs.

Modeling Qualitative Factors

Explores modeling qualitative factors in experimental design, including pseudo-tensors, Latin squares, and ANOVA analysis.

Factorial Experimental Design

Covers factorial experimental design, 2-way ANOVA, interaction plots, and unbalanced designs.

ANOVA in Full Factorial Designs

Explores replicates, ANOVA, and factor elimination in full factorial designs using ANOM tables and model equations.

Fractional Factorial Design: Main Effects and Interactions

Explores fractional factorial design, emphasizing main effects and interactions in experimental design.

Understanding Statistics & Experimental Design

Explores t-tests, confidence intervals, ANOVA, and hypothesis testing in statistics, emphasizing the importance of avoiding false discoveries and understanding the logic behind statistical tests.