Course info
1. Review of experimental and statistical objectives.
2. General factorial experiments: 2-factor and 3-factor factorial experiments and analysis. Confounding of one or more effects, fractional replication.
3. Nested designs: split-plot, split-split plot.
4. On-farm experiments: rationale, design and analysis of data.
5. Data analysis for repeated measures such as from agroforestry experiments and animal experiments.
6. Multi-site experiments. Sample size determination. Presentation of experimental results and associated measures of precision.
2. General factorial experiments: 2-factor and 3-factor factorial experiments and analysis. Confounding of one or more effects, fractional replication.
3. Nested designs: split-plot, split-split plot.
4. On-farm experiments: rationale, design and analysis of data.
5. Data analysis for repeated measures such as from agroforestry experiments and animal experiments.
6. Multi-site experiments. Sample size determination. Presentation of experimental results and associated measures of precision.
- Lecturer: Oketch Okungu Jacob