Experimental Statistics Course
Master experimental statistics for agronomic trials. Design fertilizer studies, choose the right models, check assumptions, and turn yield data into clear, economic recommendations that drive confident, data-based decisions in the field.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Experimental Statistics Course shows you how to plan and analyze fertilizer field trials from start to finish. Learn to define clear objectives, choose response variables, design plots, set treatments, and handle randomization and blocking. Follow step-by-step analysis, check assumptions, manage multiple comparisons, and turn results into transparent, reproducible reports and practical, data-driven recommendations.
Elevify advantages
Develop skills
- Design fertilizer field trials: define plots, treatments, reps, and randomization.
- Build and fit ANOVA and mixed models: specify fixed, random, and blocking factors.
- Check model assumptions fast: diagnose independence, normality, and variance issues.
- Plan sample size and power: use variance, MDD, and simulations for detectability.
- Turn results into decisions: combine CIs, effect size, and economic break-even.
Suggested summary
Before starting, you can change the chapters and the 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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