Experimental Statistics Course
Gain mastery in experimental statistics for agronomic trials. Learn to design fertilizer field studies, select appropriate models, verify assumptions, and transform yield data into clear economic recommendations that support confident, data-driven field decisions. This course equips you with practical tools for planning, analysing, and reporting fertilizer trials effectively.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches you to plan and analyse fertilizer field trials comprehensively. Define clear objectives, select response variables, design plots, assign treatments, and manage randomization and blocking. Perform step-by-step statistical analysis, validate assumptions, handle multiple comparisons, and produce transparent, reproducible reports with actionable, data-backed recommendations.
Elevify advantages
Develop skills
- Design fertilizer field trials by defining plots, treatments, replications, and randomization.
- Build and fit ANOVA and mixed models by specifying fixed, random, and blocking factors.
- Quickly check model assumptions to diagnose issues with independence, normality, and variance.
- Plan sample size and power using variance, minimum detectable difference, and simulations.
- Convert results into decisions by combining confidence intervals, effect sizes, and economic thresholds.
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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