Description

Book Synopsis
An introduction to the principles of plant and crop experimentation and the statistics used in the design and analysis of experiments, this work aims to give the plant and crop scientist an understanding of the commonly used experimental techniques and the practical problems associated with them.

Trade Review
"This introduction to the principles of plant and crop experimentation avoid mathematical jargon in its explanations of how to plan and design an experiment, analyze results, interpret computer output, and present findings...presents the reasoning...before giving practical examples and offers step-by-step calculations..." (SciTech Book News, Vol. 25, No. 3, September 2001)

Table of Contents
Preface.

Basic Principles of Experimentation.

Basic Statistical Calculations.

Basic Data Summary.

The Normal Distribution, the t-Distribution and ConfidenceIntervals.

Introduction to Hypothesis Testing.

Comparison of Two Independent Sample Means.

Linear Regression and Correlation.

Curve Fitting.

The Completely Randomised Design.

The Randomised Block Design.

The Latin Square Design.

Factorial Experiments.

Comparison of Treatment Means.

Checking the Assumptions and Transformation of Data.

Missing Values and Incomplete Blocks.

Split Plot Designs

Comparison of Regression Lines and Analysis of Covariance.

Analysis of Counts.

Some Non-parametric Methods.

Appendix 1: The Normal Distribution Function.

Appendix 2: Percentage Points of the Normal Distribution.

Appendix 3: Percentage Points of the t-Distribution.

Appendix 4a: 5 Per Cent Points of the F-Distribution.

Appendix 4b: 2.5 Per Cent Points of the F-Distribution.

Appendix 4c: 1 Per Cent Points of the F-Distribution.

Appendix 4d: 0.1 Per Cent Points of the F-Distribution.

Appendix 5: Percentage Points of the Sample CorrelationCoefficient (r) When the Population Correlation Coefficient is 0and n is the Number of X,Y Pairs.

Appendix 6: 5 Per Cent Points of the Studentised Range for Use inTukey and SNK Tests.

Appendix 7: Percentage Points of the Chi-Square Distribution.

Appendix 8: Probabilities of S or Fewer Successes in the BinomialDistribution with n 'trials' and p = 05.

Appendix 9: Critical Values of T in the Wilcoxon Signed Rank orMatched Pairs Test.

Appendix 10: Critical Values of U in the Mann-Whitney Test.

References.

Further Reading.

Index.

Practical Statistics and Experimental Design for

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    A Hardback by Alan G. Clewer, David H. Scarisbrick

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      View other formats and editions of Practical Statistics and Experimental Design for by Alan G. Clewer

      Publisher: John Wiley & Sons Inc
      Publication Date: 05/01/2001
      ISBN13: 9780471899082, 978-0471899082
      ISBN10: 0471899089

      Description

      Book Synopsis
      An introduction to the principles of plant and crop experimentation and the statistics used in the design and analysis of experiments, this work aims to give the plant and crop scientist an understanding of the commonly used experimental techniques and the practical problems associated with them.

      Trade Review
      "This introduction to the principles of plant and crop experimentation avoid mathematical jargon in its explanations of how to plan and design an experiment, analyze results, interpret computer output, and present findings...presents the reasoning...before giving practical examples and offers step-by-step calculations..." (SciTech Book News, Vol. 25, No. 3, September 2001)

      Table of Contents
      Preface.

      Basic Principles of Experimentation.

      Basic Statistical Calculations.

      Basic Data Summary.

      The Normal Distribution, the t-Distribution and ConfidenceIntervals.

      Introduction to Hypothesis Testing.

      Comparison of Two Independent Sample Means.

      Linear Regression and Correlation.

      Curve Fitting.

      The Completely Randomised Design.

      The Randomised Block Design.

      The Latin Square Design.

      Factorial Experiments.

      Comparison of Treatment Means.

      Checking the Assumptions and Transformation of Data.

      Missing Values and Incomplete Blocks.

      Split Plot Designs

      Comparison of Regression Lines and Analysis of Covariance.

      Analysis of Counts.

      Some Non-parametric Methods.

      Appendix 1: The Normal Distribution Function.

      Appendix 2: Percentage Points of the Normal Distribution.

      Appendix 3: Percentage Points of the t-Distribution.

      Appendix 4a: 5 Per Cent Points of the F-Distribution.

      Appendix 4b: 2.5 Per Cent Points of the F-Distribution.

      Appendix 4c: 1 Per Cent Points of the F-Distribution.

      Appendix 4d: 0.1 Per Cent Points of the F-Distribution.

      Appendix 5: Percentage Points of the Sample CorrelationCoefficient (r) When the Population Correlation Coefficient is 0and n is the Number of X,Y Pairs.

      Appendix 6: 5 Per Cent Points of the Studentised Range for Use inTukey and SNK Tests.

      Appendix 7: Percentage Points of the Chi-Square Distribution.

      Appendix 8: Probabilities of S or Fewer Successes in the BinomialDistribution with n 'trials' and p = 05.

      Appendix 9: Critical Values of T in the Wilcoxon Signed Rank orMatched Pairs Test.

      Appendix 10: Critical Values of U in the Mann-Whitney Test.

      References.

      Further Reading.

      Index.

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