Experimental Statistics Course
This course provides comprehensive training in planning, analyzing, and interpreting fertiliser field trials using statistical methods, enabling data-driven agricultural decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Experimental Statistics Course teaches you how to plan and analyse fertiliser field trials from beginning to end. Learn to set clear objectives, select response variables, design plots, apply treatments, and manage randomisation and blocking. Follow step-by-step analysis, verify assumptions, handle multiple comparisons, and produce transparent, reproducible reports and practical, data-driven recommendations.
Elevify advantages
Develop skills
- Design fertiliser field trials: define plots, treatments, replications, and randomisation.
- Build and fit ANOVA and mixed models: specify fixed, random, and blocking factors.
- Check model assumptions quickly: 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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