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
Simple Comparative Experiments
Two-Sample Comparisons
Independent Samples t-Test
Assumptions
Test Procedure
Confidence Intervals
Effect Size Measures
Welch's t-Test for Unequal Variances
Non-parametric Alternatives
Mann-Whitney U Test
Wilcoxon Rank-Sum Test
Paired Comparison Designs
Paired t-Test
When to Use Pairing
Advantages and Disadvantages
Analysis Procedure
Wilcoxon Signed-Rank Test
McNemar's Test for Paired Proportions
Variance Comparisons
F-Test for Equal Variances
Levene's Test
Bartlett's Test
Brown-Forsythe Test
Sample Size and Power for Comparisons
Two-Sample Tests
Paired Tests
Equivalence Tests
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3. Planning and Conducting Experiments
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5. Analysis of Variance (ANOVA)