Description: I: Introduction to Experimentation.- 1. Introduction.- 2. Why Experiment? The Role of Experimentation in Scientific and Technological Research.- 3. How to Experiment'.- II: Designing Experiments.- 4. Basic Notions of Experimental Design.- 5. Experimental Design.- III: Analysing the Experimental Data.- 6. Basic Notions of Data Analysis.- 7. Which is the Better of Two Alternatives? Analysis of One-Factor Designs with Two Alternatives.- 8. Which of k Alternatives is the Best? Analysis for One-Factor Designs and k Alternatives.- 9. Experiments with Undesired Variations: Analysis for Block Designs.- 10. Best Alternatives for More than One Variable: Analysis for Factorial Designs.- 11. Experiments with Incomparable Factor Alternatives: Analysis for Nested Designs.- 12. Fewer Experiments: Analysis for Fractional Factorial Designs.- 13. Several Desired and Undesired Variations: Analysis for Factorial Block Designs.- 14. Non-Parametric Analysis Methods.- 15. How Many Times should an Experiment be Replicated'.- IV: Conclusions.- 16. Some Recommendations on Experimenting.- References.- Annexes.- Annex I: Some Software Project Variables.- Annex II: Some Useful Latin Squares and How They are Used to Build Greco-Latin and Hyper-Greco-Latin Squares.- Annex III: Statistical Tables.

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