Experimental Statistics for Agriculture and Horticulture

Released on by Clive R. Ireland
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  • Experimental Statistics for Agriculture and Horticulture Book Detail

  • Author : Clive R. Ireland
  • Release Date : 2010
  • Publisher : CABI
  • Genre : Education
  • Pages : 376
  • ISBN 13 : 1845935373
  • File Size : 84,84 MB
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Experimental Statistics for Agriculture and Horticulture by Clive R. Ireland PDF Summary

Book Description: Providing practical training supported by a sound theoretical basis, this textbook introduces students to the principles of investigation by experiment and the role of statistics in analysis. It draws on the author's extensive teaching experience and is illustrated with fully worked, contextualized examples throughout, helping readers to correctly design their own experiments and identify the most appropriate technique for analysis. Subjects include sampling and determining sample reliability, hypothesis testing, relationships between variables, the role and use of computer packages such as Microsoft Excel spreadsheet software and GenStat, and more complex experimental designs, such as randomized blocks and split plots. This book is an essential text for students of agriculture, horticulture and related disciplines

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Experimental Statistics for Agriculture and Horticulture: Introduction to Experimental Design and Data Analysis; 2. Descriptive Statistics; 3. Data Distributions; 4. Populations, Samples and Sample Reliability; 5. Inferential Statistics and Hypothesis Testing; 6. Design and Analysis of Two Sample Experiments; 7. Non-parametric Analysis of the Difference Between Two Samples; 8. Design and Analysis of Multi-sample Experiments; 9. Analysis of Multi-factorial Experiments; 10. Design and Analysis of More Complex Factorial Experiments; 11. Correlation Analysis; 12. Fitting Trend Lines; 13. Analysis of Frequency Data; 14. Performing Statistical Analyses Using Computer Packages

Experimental Statistics for Agriculture and Horticulture: Introduction to Experimental Design and Data Analysis; 2. Descriptive Statistics; 3. Data Distributions; 4. Populations, Samples and Sample Reliability; 5. Inferential Statistics and Hypothesis Testing; 6. Design and Analysis of Two Sample Experiments; 7. Non-parametric Analysis of the Difference Between Two Samples; 8. Design and Analysis of Multi-sample Experiments; 9. Analysis of Multi-factorial Experiments; 10. Design and Analysis of More Complex Factorial Experiments; 11. Correlation Analysis; 12. Fitting Trend Lines; 13. Analysis of Frequency Data; 14. Performing Statistical Analyses Using Computer Packages

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Providing practical training supported by a sound theoretical basis, this textbook introduces students to the principals of investigation by experiment and the

Agricultural Experimentation

Agricultural Experimentation

File Size : 82,82 MB
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Logic, research, and experiment; Some basic concepts; The analysis of variance and t tests; The completely randomized design; The randomized complete block desi