Lectures related to Interaction (statistics)

Covers the analysis of a 24-1 fractional factorial design and its aliases.

Fractional Factorial Designs: Understanding Interactions

Covers fractional factorial designs to efficiently study interactions in experiments, focusing on aliasing, geometric interpretation, and effect selection.

Qualitative Factors in Workshop Optimization

Covers the optimization of a workshop through qualitative factors analysis and modeling.

Fractional Factorial Example and Higher Order Equations

Covers the design of a catapult experiment and higher order equations.

Fractional Factorial Design: Main Effects and Interactions

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

Design of Experiments: Efficiency and Interactions

Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.

Fractional Factorial Design: Normality Testing and Blocking Techniques

Explores fractional factorial design, normality testing, and blocking techniques in experimental design.

Factorial Experimental Design

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

Full Factorial Design Introduction

Covers the basics of full factorial design, coding, graphical outputs, and data analysis.

Model Formulas in R: Basics and Applications

Explores model formulas in R, covering basics, interactions, ANOVA, and factorial designs with practical examples.

Introduction to Fractional Factorial Designs

Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.

Fractional factorial design: Resolution and Standardized Effects

Explains fractional factorial design principles, focusing on resolution and standardized effects in chemical reactors.

Fractional factorial design: Basics and Applications

Explores fractional factorial design basics, including blocking alias, interaction effects, and design comparison.

Factorial Design: Quantitative Factors

Introduces 2N Full Factorial Design, factorial matrices, main effects, interactions, MATLAB plans, and result analysis.

Fractional Factorial Design: Rechtschaffner Plan

Explains the advantages of the Rechtschaffner plan over similar factorial designs.

Qualitative factors II

Explores qualitative factors in experimental design, factorial strategies, model computation, and practical exercises in Matlab.

Graphical Analysis of Full Factorials

Explores the graphical analysis of full factorial experiments, emphasizing efficient data analysis and interpretation of main effects and interactions.

Experimental Design: Strategies and Analysis

Discusses experimental design strategies, factors, responses, treatment combinations, and degrees of freedom.

Modeling Qualitative Factors

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

Model Building: Analysis of Means

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