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Author: Trudy A. Watt
Publisher: CRC Press
ISBN: 9780412807602
Category : Mathematics
Languages : en
Pages : 260
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Book Description
Introductory Statistics for Biology Students thoroughly covers the design and analysis of experiments and surveys in biology, containing practical advice on carrying out successful projects and producing clear, informative reports.
Author: R. E. Parker
Publisher: Cambridge University Press
ISBN: 9780521427784
Category : Mathematics
Languages : en
Pages : 132
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Book Description
This introductory text presents the use of statistical methods as an integral part of biological investigation, yet one whose superficial complexities have deterred many biologists from using them. The author argues that the difficulties, such as they are, do not lie in mathematical manipulation, but in grasping a few simple, but unfamiliar concepts. He emphasizes the need for precisely defining problems and for careful selection of the most appropriate methods - a wide range of which are described and illustrated. Each chapter ends with a set of problems which are intended to help the student gain practical experience. No previous knowledge is assumed, and the student is encouraged to develop a competent and critical approach to analysing numerical data. In this second edition, the scope of the book has been extended, problems have been solved in a more satisfactory way, and a greater number of illustrative examples have been added.
Author: Trudy A. Watt
Publisher: CRC Press
ISBN: 9780412807602
Category : Mathematics
Languages : en
Pages : 260
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Book Description
Introductory Statistics for Biology Students thoroughly covers the design and analysis of experiments and surveys in biology, containing practical advice on carrying out successful projects and producing clear, informative reports.
Author: Trudy A. Watt
Publisher: Chapman and Hall/CRC
ISBN:
Category : Mathematics
Languages : en
Pages : 204
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Book Description
Tackles fundamental ideas in statistics and experimental design using the minimum of mathematics and should prove useful for life science students. The book takes examples from a variety of disciplines, including zoology, plant science and agriculture, pharmacology and medicine.
Author: Trudy A. Watt
Publisher: CRC Press
ISBN: 1420011529
Category : Mathematics
Languages : en
Pages : 298
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Book Description
Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students studying biological subjects often lack confidence in their numerical abilities. Allaying the anxieties of students, Introduction to Statistics for Biology, Third Edition provides a painless introduction to the subject while demonstrating the importance of statistics in contemporary biological studies. New to the Third Edition More detailed explanation of the ideas of elementary probability to simplify the rationale behind hypothesis testing, before moving on to simple tests An emphasis on experimental design and data simulation prior to performing an experiment A general template for carrying out statistical tests from hypothesis to interpretation Worked examples and updated Minitab analyses and graphics Downloadable resources contains a free trial version of Minitab Using Minitab throughout to present practical examples, the authors emphasize the interpretation of computer output. With its nontechnical approach and practical advice, this student-friendly introductory text lays the foundation for the advanced study of statistical analysis.
Author: O'Leary
Publisher: Addison-Wesley Longman
ISBN: 9780201553888
Category :
Languages : en
Pages :
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Book Description
Author: David Heath
Publisher: CRC Press
ISBN: 1135370117
Category : Mathematics
Languages : en
Pages : 372
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Book Description
This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by w
Author: SUSAN. HUBER HOLMES (WOLFGANG.)
Publisher: Cambridge University Press
ISBN: 1108427022
Category :
Languages : en
Pages : 407
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Book Description
Author: Raymond E. Hampton
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 188
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Book Description
"A thorough grounding in statistics is necessary for a career in any experimental science, but many students find themselves intimidated by the subject. Hampton and Havel have written this text with these students in mind. While providing the theory and assumptions necessary for a deep understanding of statistics, they make it approachable and keep it relevant to the interests of biology students. Their examples and exercises show how to choose the appropriate statistical method for a particular hypothesis and how to execute that method using problems encountered by real-world biologists. The second edition has been ambitiously updated and reorganized, facilitating clearer connections between topics and improving clarity of those that are logically distinct."--BOOK JACKET.
Author: Thomas W. MacFarland
Publisher: Springer
ISBN: 3319306340
Category : Medical
Languages : en
Pages : 341
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Book Description
This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are appropriate To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test To introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.
Author: Babak Shahbaba
Publisher: Springer Science & Business Media
ISBN: 1461413028
Category : Medical
Languages : en
Pages : 355
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Book Description
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.
