Description
Book SynopsisClearly written and free of statistical jargon, this invaluable guide concentrates on the practicalities of statistical analysis for anyone involved with agricultural research. Each section starts with the key points, giving a quick reference to the contents and plenty of examples using a reala data.
Table of ContentsAcknowledgements
INTRODUCTION
Notation
A little history
Population versus samples
PLANNING
Formulating the idea
Defining objectives
Defining the population
Formulating hypotheses
Hypothesis testing
Anticipating treatment differences
DESIGN
Variables
Choosing the treatments
Constraints
Replication
Blocking
Randomization
Covariants
Confounding
TRIAL STRUCTURE
Considerations
Single-treatment factor designs
Multi-treatment factor designs
Some other designs
DATA ENTRY AND EXPLORATION
Data entry
Data
Data checking
Data exploration
ANALYTICAL TECHNIQUES
Parametric techniques
Non-parametric techniques
Comparison of parametric and non-parametric techniques
OTHER STATISTICAL TECHNIQUES
Multivariate analysis
Time series analysis
ASPECTS OF COMPUTING
APPENDICES
Glossary of Statistical Terms
Analysis of Variance Formulae
INDEX
