Useful Links
Statistics
Design of Experiments
1. Introduction to Design of Experiments
2. Fundamental Principles of Experimental Design
3. Planning and Conducting Experiments
4. Simple Comparative Experiments
5. Analysis of Variance (ANOVA)
6. Factorial Designs
7. Fractional Factorial Designs
8. Response Surface Methodology
9. Robust Design and Taguchi Methods
10. Advanced and Specialized Designs
11. Statistical Analysis and Model Building
12. Software Tools and Implementation
13. Quality Control and Best Practices
14. Applications and Case Studies
Analysis of Variance (ANOVA)
One-Way ANOVA
ANOVA Model and Assumptions
Normality Assumption
Homogeneity of Variance
Independence Assumption
Sum of Squares Decomposition
Total Sum of Squares
Between-Groups Sum of Squares
Within-Groups Sum of Squares
F-Test and F-Distribution
ANOVA Table Construction
Effect Size Measures
Eta-squared
Omega-squared
Model Adequacy Checking
Residual Analysis
Normality Tests
Homogeneity Tests
Outlier Detection
Multiple Comparisons
Family-wise Error Rate
Tukey's HSD Test
Fisher's LSD
Dunnett's Test
Bonferroni Correction
Scheffe's Method
Non-parametric Alternatives
Kruskal-Wallis Test
Friedman Test
Two-Way ANOVA
Model Structure
Main Effects
Interaction Effects
Additive vs. Non-additive Models
Balanced vs. Unbalanced Designs
Sum of Squares Decomposition
Interaction Interpretation
Simple Effects Analysis
Model Adequacy Assessment
Higher-Order ANOVA
Three-Way ANOVA
Multi-factor Interactions
Hierarchical Models
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4. Simple Comparative Experiments
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6. Factorial Designs