Description

Book Synopsis
Clearly 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 Contents
Acknowledgements
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

Statistical Experiment Design Interpr An

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    A Hardback by Claire A. Collins, Frances M. Seeney

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      Book details

      Publisher John Wiley & Sons Inc
      Published 9 July 1999
      ISBN-13 9780471960065
      978-0471960065
      ISBN-10 0471960063
      Also in:
      Mathematics Probability and statistics Biology, life sciences Maths for engineers

      Description

      Book Synopsis
      Clearly 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 Contents
      Acknowledgements
      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

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