Presents readers with a user-friendly, non-technical introduction to statistics and the principles of plant and crop experimentation. Avoiding mathematical jargon, it explains how to plan and design an experiment, analyse results, interpret computer output and present findings. Using specific crop and plant case studies, this guide presents:
* The reasoning behind each statistical method is explained before giving relevant, practical examples
* Step-by-step calculations with examples linked to three computer packages (MINITAB, GENSTAT and SAS)
* Exercises at the end of...

Presents readers with a user-friendly, non-technical introduction to statistics and the principles of plant and crop experimentation. Avoiding mathematical jargon, it explains how to plan and design an experiment, analyse results, interpret computer output and present findings. Using specific crop and plant case studies, this guide presents:
* The reasoning behind each statistical method is explained before giving relevant, practical examples
* Step-by-step calculations with examples linked to three computer packages (MINITAB, GENSTAT and SAS)
* Exercises at the end of...