Practical Statistics and Experimental Design for Plant and Crop Science

Practical Statistics and Experimental Design for Plant and Crop Science PDF Author: Alan G. Clewer
Publisher: John Wiley & Sons
ISBN: 1118685660
Category : Science
Languages : en
Pages : 315

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Book Description
Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.

Practical Statistics and Experimental Design for Plant and Crop Science

Practical Statistics and Experimental Design for Plant and Crop Science PDF Author: Alan G. Clewer
Publisher: John Wiley & Sons
ISBN: 1118685660
Category : Science
Languages : en
Pages : 315

Get Book

Book Description
Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.

Handbook of Statistics for Teaching and Research in Plant and Crop Science

Handbook of Statistics for Teaching and Research in Plant and Crop Science PDF Author: Usha Palaniswamy
Publisher: CRC Press
ISBN: 9781560222934
Category : Mathematics
Languages : en
Pages : 656

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Book Description
More than a textbook—it’s also a valuable reference book for researchers and crop science professionals! The Handbook of Statistics for Teaching and Research in Plant and Crop Science presents the fundamental concepts of important statistical methods and experimental designs to the students and researchers who need to apply them to their own specific problems. This comprehensive handbook takes what can be the difficult and confusing topics of statistics and experimental design and explains them in easily understandable terms, making them accessible to nearly every reader. More than a student textbook, it is an essential reference for researchers and professionals in a multitude of fields. Designed as a two-semester statistical textbook, the first section of the Handbook of Statistics for Teaching and Research in Plant and Crop Science focuses on statistical concepts, providing a foundation of useful knowledge on which you can base your own research. The second section concentrates on experimental designs in plant and crop sciences. The material is presented in a way that helps readers with a minimum of mathematical background to understand important theories and concepts. Derivations of formulas are avoided, and mathematical symbols are used only when essential. To illustrate the computational procedures, data is drawn from actual experiments. At the end of each chapter, examples and exercises are given to provide clear insight into real-life problems. A comprehensive appendix of clearly presented statistical tables is included. Part One of Handbook of Statistics for Teaching and Research in Plant and Crop Science focuses on statistical methods, principles, and procedures, exploring: methods of display of statistical information, such as tables, diagrams, graphs, etc. symbols and their use in denoting variables descriptions of types of statistical data methods of computation from raw and graphed data the importance of studying variables and dispersion in research the use of normal probability integral tables and their application to practical problems descriptions of different types of experiments, such as determinate and nondeterminate the significance of expected value in research special techniques in descriptive statistics explanations of population, sample, and statistical inference the significance of null hypothesis in research methods of correlation studies assumptions and principles in regression analysis Part Two concentrates on experimental design, principles and procedures, exploring: basic principles of experimental design the fundamental concepts of linear models and analysis of variance method and layout of Completely Randomized Design (CRD) the advantages and disadvantages of Randomized Complete Block Design (RCBD) methods and procedures for comparison of several treatment means the important features of Latin Square Design factorial experiments split plot design completely confounded design analysis of covariance the Chi Square Test of Significance the transformation of experimental data quality control and so much more! The Handbook of Statistics for Teaching and Research in Plant and Crop Science serves not only as a textbook for instructors and students in experimental design and statistics but also as a reference book on plant and crop sciences for professionals and researchers. The comprehensive text is also useful for professionals in other statistic-heavy fields.

Experimental Statistics for Agriculture and Horticulture

Experimental Statistics for Agriculture and Horticulture PDF Author: Clive R. Ireland
Publisher: CABI
ISBN: 1845935373
Category : Education
Languages : en
Pages : 376

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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

Experimental Design for the Life Sciences

Experimental Design for the Life Sciences PDF Author: Graeme Ruxton
Publisher: Oxford University Press
ISBN: 0199569126
Category : Education
Languages : en
Pages : 197

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Book Description
Providing students with clear and practical advice on how best to organise experiments and collect data so as to make the subsequent analysis easier and their conclusions more robust, this text assumes no specialist knowledge.

Agricultural Field Experiments

Agricultural Field Experiments PDF Author: Roger G. Petersen
Publisher: CRC Press
ISBN: 9780849384776
Category : Technology & Engineering
Languages : en
Pages : 436

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Book Description
This text provides statistical and biometrical procedures for designing, conducting, analyzing and interpreting field experiments. It addresses the most important research topics in agriculture, including agronomy, breeding and pasture trials; farming systems research; and intercropping research.

Agricultural Statistical Data Analysis Using Stata

Agricultural Statistical Data Analysis Using Stata PDF Author: George Boyhan
Publisher: CRC Press
ISBN: 1466585862
Category : Mathematics
Languages : en
Pages : 264

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Book Description
Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variet

Crop Protection Research Advances

Crop Protection Research Advances PDF Author: Earl N. Burton
Publisher: Nova Publishers
ISBN: 9781604560404
Category : Technology & Engineering
Languages : en
Pages : 344

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Book Description
Book & CD. Most crop protection deals with the development and promotion of socially and environmentally acceptable technologies to reduce crop losses from pests. Crop protection also deals with protecting crops from weeds, insects and diseases primarily to increase yield. The use of crop protection products secures yields, reduces crop losses and helps provide a sufficient and sustainable supply of healthy and safe food at affordable prices. Ultimately, crop protection tries to increase global food demand. It also deals with efforts to assure food quality and safety. This book presents the latest research from around the globe.

Statistical Procedures for Agricultural Research

Statistical Procedures for Agricultural Research PDF Author: Kwanchai A. Gomez
Publisher: John Wiley & Sons
ISBN: 9780471870920
Category : Technology & Engineering
Languages : en
Pages : 698

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Book Description
Here in one easy-to-understand volume are the statistical procedures and techniques the agricultural researcher needs to know in order to design, implement, analyze, and interpret the results of most experiments with crops. Designed specifically for the non-statistician, this valuable guide focuses on the practical problems of the field researcher. Throughout, it emphasizes the use of statistics as a tool of research—one that will help pinpoint research problems and select remedial measures. Whenever possible, mathematical formulations and statistical jargon are avoided. Originally published by the International Rice Research Institute, this widely respected guide has been totally updated and much expanded in this Second Edition. It now features new chapters on the analysis of multi-observation data and experiments conducted over time and space. Also included is a chapter on experiments in farmers' fields, a subject of major concern in developing countries where agricultural research is commonly conducted outside experiment stations. Statistical Procedures for Agricultural Research, Second Edition will prove equally useful to students and professional researchers in all agricultural and biological disciplines. A wealth of examples of actual experiments help readers to choose the statistical method best suited for their needs, and enable even the most complicated procedures to be easily understood and directly applied. An International Rice Research Institute Book

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 PDF Author:
Publisher:
ISBN: 9781845935375
Category : Agriculture
Languages : en
Pages : 360

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Book Description
Providing practical training supported by a sound theoretical basis, this textbook introduces students to the principals 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 the reader to correctly design their own experiments and identify the most appropriate technique for analysis. The subjects covered include sampling and determining sample reliability, hypothesis testing, relationships between variables, the role and use of computer packages such as: Microsoft Excel, Toolpak and GenStat, and more complex experimental designs such as randomized blocks and split plots. It is suitable for upper-level undergraduate and graduate students of agriculture, horticulture and related disciplines

Essential Guide to Reading Biomedical Papers

Essential Guide to Reading Biomedical Papers PDF Author: Philip D. Langton
Publisher: John Wiley & Sons
ISBN: 1118402251
Category : Science
Languages : en
Pages : 304

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Book Description
Essential Guide to Reading Biomedical Papers: Recognising and Interpreting Best Practice is an indispensable companion to the biomedical literature. This concise, easy-to-follow text gives an insight into core techniques and practices in biomedical research and how, when and why a technique should be used and presented in the literature. Readers are alerted to common failures and misinterpretations that may evade peer review and are equipped with the judgment necessary to be properly critical of the findings claimed by research articles. This unique book will be an invaluable resource for students, technicians and researchers in all areas of biomedicine. Allows the reader to develop the necessary skills to properly evaluate research articles Coverage of over 30 commonly-used techniques in the biomedical sciences Global approach and application, with contributions from leading experts in diverse fields