Experimental Statistics Course
Master experimental statistics for agronomic field trials. Learn to design fertiliser studies, select appropriate models, verify assumptions, and transform yield data into straightforward economic recommendations that support confident, evidence-based farming decisions in Kenyan fields.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches you to plan and analyse fertiliser field trials fully. You will define objectives, select response variables, design plots, assign treatments, and apply randomization and blocking. Gain skills in step-by-step analysis, assumption checks, multiple comparisons, and creating clear, reproducible reports with practical, data-backed recommendations.
Elevify advantages
Develop skills
- Design fertiliser field trials: set plots, treatments, replications, and randomization.
- Build and fit ANOVA and mixed models: define fixed, random, and blocking factors.
- Quickly check model assumptions: identify issues with independence, normality, and variance.
- Plan sample size and power: apply variance, MDD, and simulations for reliable detection.
- Convert results to decisions: integrate confidence intervals, effect sizes, and economic thresholds.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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