Course info
1. Planning of experiments: objectives, selection of treatments, choice of experimental units and response variable.
2. General principles: Randomization, replication, control of error.
3. Completely randomized design, randomization and analysis of variance.
4. Design for increased precision:
5. Randomized Complete Block Design: randomization and data analysis, handling missing data.
6. Latin Square design. Graeco-latin square. Blocking efficiency, management and confounding. Random effects model.
7. Treatment comparisons: orthogonal treatment contrasts, orthogonal polynomials for Quantitative treatments, multiple comparison procedures (use and misuse).
8. Introduction to factorial experiments, interpretation of main effects and interaction.
2. General principles: Randomization, replication, control of error.
3. Completely randomized design, randomization and analysis of variance.
4. Design for increased precision:
5. Randomized Complete Block Design: randomization and data analysis, handling missing data.
6. Latin Square design. Graeco-latin square. Blocking efficiency, management and confounding. Random effects model.
7. Treatment comparisons: orthogonal treatment contrasts, orthogonal polynomials for Quantitative treatments, multiple comparison procedures (use and misuse).
8. Introduction to factorial experiments, interpretation of main effects and interaction.
- Lecturer: Oketch Okungu Jacob