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 Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download 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 full book. Access full book title 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 by . Download full books in PDF and EPUB format.
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
Author:
Publisher:
ISBN: 9781845935375
Category : Agriculture
Languages : en
Pages : 360
Get Book Here
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
Author: Gerry P. Quinn
Publisher: Cambridge University Press
ISBN: 1139432893
Category : Nature
Languages : en
Pages : 851
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Book Description
An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.
Author: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category : Science
Languages : en
Pages : 156
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Book Description
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Author: S.J. Welham
Publisher: CRC Press
ISBN: 1439808783
Category : Mathematics
Languages : en
Pages : 606
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Book Description
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience. Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat® statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R. By the time you reach the end of the book (and online material) you will have gained: A clear appreciation of the importance of a statistical approach to the design of your experiments, A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables, Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly, An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working. The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.
Author: Charles J. Krebs
Publisher: Benjamin-Cummings Publishing Company
ISBN: 9780321068798
Category : Science
Languages : en
Pages : 695
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Book Description
This best-selling majors ecology book continues to present ecology as a series of problems for readers to critically analyze. No other text presents analytical, quantitative, and statistical ecological information in an equally accessible style. Reflecting the way ecologists actually practice, the book emphasizes the role of experiments in testing ecological ideas and discusses many contemporary and controversial problems related to distribution and abundance. Throughout the book, Krebs thoroughly explains the application of mathematical concepts in ecology while reinforcing these concepts with research references, examples, and interesting end-of-chapter review questions. Thoroughly updated with new examples and references, the book now features a new full-color design and is accompanied by an art CD-ROM for instructors. The field package also includes The Ecology Action Guide, a guide that encourages readers to be environmentally responsible citizens, and a subscription to The Ecology Place (www.ecologyplace.com), a web site and CD-ROM that enables users to become virtual field ecologists by performing experiments such as estimating the number of mice on an imaginary island or restoring prairie land in Iowa. For college instructors and students.
Author: Yogesh Kumar Singh
Publisher: New Age International
ISBN: 8122418864
Category : Education
Languages : en
Pages : 20
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Book Description
The book approaches research from a perspective different from that taken in other educational research textbooks. The goal is to show educators that the application of research principles can make them more effective in their job of promoting learning. The basic point is that we do not have to stop teaching to do research; research is something we can do while teaching and if we do good research, we will do better teaching. This book includes most of the topics treated in traditional educational research books, but in a different order and with a different emphasis. The important content cons.
Author: Michele Ver Ploeg
Publisher: DIANE Publishing
ISBN: 1437921345
Category : Health & Fitness
Languages : en
Pages : 160
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Book Description
The Food, Conservation, and Energy Act of 2008 directed the U.S. Dept. of Agr. to conduct a 1-year study to assess the extent of areas with limited access to affordable and nutritious food, identify characteristics and causes of such areas, consider how limited access affects local populations, and outline recommend. to address the problem. This report presents the findings of the study, which include results from two conferences of national and internat. authorities on food deserts and a set of research studies. It also includes reviews of existing literature, a national-level assessment of access to large grocery stores and supermarkets, analysis of the economic and public health effects of limited access, and a discussion of existing policy interventions. Illus.
Author: Robert Weissberg
Publisher: Prentice Hall
ISBN: 9780139708312
Category : English language
Languages : en
Pages : 202
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Book Description
This text is for students who are entering graduate-level studies in their academic fields and/or who need to write research results in the form of technical papers, journal articles, theses, or dissertations.
Author: Joseph Henrich
Publisher: Farrar, Straus and Giroux
ISBN: 0374710457
Category : Psychology
Languages : en
Pages : 420
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Book Description
A New York Times Notable Book of 2020 A Bloomberg Best Non-Fiction Book of 2020 A Behavioral Scientist Notable Book of 2020 A Human Behavior & Evolution Society Must-Read Popular Evolution Book of 2020 A bold, epic account of how the co-evolution of psychology and culture created the peculiar Western mind that has profoundly shaped the modern world. Perhaps you are WEIRD: raised in a society that is Western, Educated, Industrialized, Rich, and Democratic. If so, you’re rather psychologically peculiar. Unlike much of the world today, and most people who have ever lived, WEIRD people are highly individualistic, self-obsessed, control-oriented, nonconformist, and analytical. They focus on themselves—their attributes, accomplishments, and aspirations—over their relationships and social roles. How did WEIRD populations become so psychologically distinct? What role did these psychological differences play in the industrial revolution and the global expansion of Europe during the last few centuries? In The WEIRDest People in the World, Joseph Henrich draws on cutting-edge research in anthropology, psychology, economics, and evolutionary biology to explore these questions and more. He illuminates the origins and evolution of family structures, marriage, and religion, and the profound impact these cultural transformations had on human psychology. Mapping these shifts through ancient history and late antiquity, Henrich reveals that the most fundamental institutions of kinship and marriage changed dramatically under pressure from the Roman Catholic Church. It was these changes that gave rise to the WEIRD psychology that would coevolve with impersonal markets, occupational specialization, and free competition—laying the foundation for the modern world. Provocative and engaging in both its broad scope and its surprising details, The WEIRDest People in the World explores how culture, institutions, and psychology shape one another, and explains what this means for both our most personal sense of who we are as individuals and also the large-scale social, political, and economic forces that drive human history. Includes black-and-white illustrations.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309287812
Category : Mathematics
Languages : en
Pages : 191
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Book Description
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
