Title: Statistical Experiment Design and Interpretation: An Introduction with Agricultural Examples
Publisher: Wiley
Publication Date: 1999
Language: English
ISBN 10: 0471960063
ISBN 13: 9780471960065
Binding: Hardcover
Condition: New

About this title

Synopsis

Clearly written and free of statistical jargon, this invaluableguide concentrates on the practicalities of statistical analysisfor anyone involved with agricultural research.
Each section starts with the key points, giving a quick referenceto the contents and plenty of examples using 'real' data.

Successful experiment design starts with a statement of aims. Theauthors guide the reader through planning an experiment, includingdefining objectives, considering treatments, measurements ofinterest and the time and timing of assessments. Advantages anddisadvantages of different experiment designs and the importance ofdata exploration and graphical presentation are covered, as aredata collection, storage, validation and verification. Statisticaltechniques include the t-test, anlaysis of variance, basicregression analysis and non-parametric techniques. Assumptionsinherent to these techniques are clearly identified (bearing inmind the principles and aims) without losing the reader instatistical theory. All of the techniques are illustrated withworked examples and give full interpretation of the results.Formulae are kept to a minimum in the main text, but are given infull in the appendix.

About the Author

Claire A. Collins and Frances M. Seeney are the authors of Statistical Experiment Design and Interpretation: An Introduction with Agricultural Examples, published by Wiley.

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