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An Introduction To Experimental Design And Statistics For Biology

Author: David Heath
Publisher: CRC Press
ISBN: 9780203499245
Size: 34.80 MB
Format: PDF, ePub
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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 worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.

Introduction To Statistics For Biology Third Edition

Author: Trudy A. Watt
Publisher: CRC Press
ISBN: 1420011529
Size: 73.37 MB
Format: PDF, ePub, Mobi
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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 A CD-ROM that 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.

Design And Analysis Of Experiments Introduction To Experimental Design

Author: Klaus Hinkelmann
Publisher: John Wiley & Sons
ISBN: 9780470191743
Size: 41.91 MB
Format: PDF
View: 1938
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This user-friendly new edition reflects a modern and accessible approach to experimental design and analysis Design and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of designing scientific comparative experiments and also details the intricacies that are often encountered throughout the design and analysis processes. With the addition of extensive numerical examples and expanded treatment of key concepts, this book further addresses the needs of practitioners and successfully provides a solid understanding of the relationship between the quality of experimental design and the validity of conclusions. This Second Edition continues to provide the theoretical basis of the principles of experimental design in conjunction with the statistical framework within which to apply the fundamental concepts. The difference between experimental studies and observational studies is addressed, along with a discussion of the various components of experimental design: the error-control design, the treatment design, and the observation design. A series of error-control designs are presented based on fundamental design principles, such as randomization, local control (blocking), the Latin square principle, the split-unit principle, and the notion of factorial treatment structure. This book also emphasizes the practical aspects of designing and analyzing experiments and features: Increased coverage of the practical aspects of designing and analyzing experiments, complete with the steps needed to plan and construct an experiment A case study that explores the various types of interaction between both treatment and blocking factors, and numerical and graphical techniques are provided to analyze and interpret these interactions Discussion of the important distinctions between two types of blocking factors and their role in the process of drawing statistical inferences from an experiment A new chapter devoted entirely to repeated measures, highlighting its relationship to split-plot and split-block designs Numerical examples using SAS® to illustrate the analyses of data from various designs and to construct factorial designs that relate the results to the theoretical derivations Design and Analysis of Experiments, Volume 1, Second Edition is an ideal textbook for first-year graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, pharmacology, psychology, and business.

Principles Of Experimental Design For The Life Sciences

Author: Murray R. Selwyn
Publisher: CRC Press
ISBN: 9780849394614
Size: 63.27 MB
Format: PDF, Kindle
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Let this down-to-earth book be your guide to the statistical integrity of your work. Without relying on the detailed and complex mathematical explanations found in many other statistical texts, Principles of Experimental Design for the Life Sciences teaches how to design, conduct, and interpret top-notch life science studies. Learn about the planning of biomedical studies, the principles of statistical design, sample size estimation, common designs in biological experiments, sequential clinical trials, high dimensional designs and process optimization, and the correspondence between objectives, design, and analysis. Each of these important topics is presented in an understandable and non-technical manner, free of statistical jargon and formulas. Written by a biostatistical consultant with 25 years of experience, Principles of Experimental Design for the Life Sciences is filled with real-life examples from the author's work that you can quickly and easily apply to your own. These examples illustrate the main concepts of experimental design and cover a broad range of application areas in both clinical and nonclinical research. With this one innovative, helpful book you can improve your understanding of statistics, enhance your confidence in your results, and, at long last, shake off those statistical shackles!

Statistics And Experimental Design

Author: Geoffrey M. Clarke
Publisher: John Wiley & Sons Incorporated
ISBN:
Size: 58.10 MB
Format: PDF, Kindle
View: 254
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Explains standard statistical methods in a non-mathematical manner. Describes how to use them, interpret the results, and how to illustrate reports with suitable graphics. Includes numerous, detailed worked examples and exercises.

Statistics And Scientific Method

Author: Peter J. Diggle
Publisher: Oxford University Press
ISBN: 0199543186
Size: 64.24 MB
Format: PDF, Docs
View: 203
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An antidote to technique-orientated approaches, this text avoids the recipe-book style, giving the reader a clear understanding of how core statistical ideas of experimental design, modelling, and data analysis are integral to the scientific method. No prior knowledge of statistics is required and a range of scientific disciplines are covered.

Statistics And Experimental Design For Toxicologists Third Edition

Author: Shayne C. Gad
Publisher: CRC Press
ISBN: 9780849331381
Size: 29.62 MB
Format: PDF
View: 4721
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This book serves as a primary text for students of pharmacology, toxicology, and biology, and as a practical handbook to support the daily operations of the toxicology laboratory and researcher. This edition retains the structure of earlier editions, but has been extensively revised to provide both the student and the working toxicologist with the necessary tools for the rigorous and critical design of studies and analysis of experimental data. Assuming only basic mathematical skills as a starting point, Statistics and Experimental Design for Toxicologists provides a thorough and exhaustive introduction to the statistical methods available to and used in the discipline. A worked, practical example from the field is provided for each technique presented. Written from a toxicologist's perspective, this book provides both the methodological tools necessary to analyze experimental toxicology data and the insight to know when to use them.

Biostatistics

Author: Professor of Physiology and Biophysics James F Zolman
Publisher: Oxford University Press on Demand
ISBN: 9780195078107
Size: 27.19 MB
Format: PDF, ePub
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This textbook takes a unique approach to explaining and demonstrating how to use and interpret statistics for the physiological, medical, and life sciences. The first third of the book presents an integrated overview and introduction to experimental design and statistical inference. The rest of the book provides an extensively cross-referenced set of 100 brief critiques of sample case studies embodying all the most common statistical errors or design problems found in the biological literature. These specific cases are effective for teaching the principles of biostatistics. The examples are drawn primarily from biomedicine, yet the book is also valuable to psychologists, social scientists, environmental scientists, ecologists, and any discipline employing statistics.

Design And Analysis Of Experiments Introduction To Experimental Design

Author: Klaus Hinkelmann
Publisher: Wiley-Interscience
ISBN: 0471727563
Size: 53.83 MB
Format: PDF, Kindle
View: 179
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This user-friendly new edition reflects a modern and accessible approach to experimental design and analysis Design and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of designing scientific comparative experiments and also details the intricacies that are often encountered throughout the design and analysis processes. With the addition of extensive numerical examples and expanded treatment of key concepts, this book further addresses the needs of practitioners and successfully provides a solid understanding of the relationship between the quality of experimental design and the validity of conclusions. This Second Edition continues to provide the theoretical basis of the principles of experimental design in conjunction with the statistical framework within which to apply the fundamental concepts. The difference between experimental studies and observational studies is addressed, along with a discussion of the various components of experimental design: the error-control design, the treatment design, and the observation design. A series of error-control designs are presented based on fundamental design principles, such as randomization, local control (blocking), the Latin square principle, the split-unit principle, and the notion of factorial treatment structure. This book also emphasizes the practical aspects of designing and analyzing experiments and features: Increased coverage of the practical aspects of designing and analyzing experiments, complete with the steps needed to plan and construct an experiment A case study that explores the various types of interaction between both treatment and blocking factors, and numerical and graphical techniques are provided to analyze and interpret these interactions Discussion of the important distinctions between two types of blocking factors and their role in the process of drawing statistical inferences from an experiment A new chapter devoted entirely to repeated measures, highlighting its relationship to split-plot and split-block designs Numerical examples using SAS® to illustrate the analyses of data from various designs and to construct factorial designs that relate the results to the theoretical derivations Design and Analysis of Experiments, Volume 1, Second Edition is an ideal textbook for first-year graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, pharmacology, psychology, and business.

Methods In Comparative Plant Population Ecology

Author: David Gibson
Publisher: OUP Oxford
ISBN: 0191651230
Size: 72.81 MB
Format: PDF, ePub, Docs
View: 2801
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The field of plant population ecology has advanced considerably in the last decade since the first edition was published. In particular there have been substantial and ongoing advances in statistics and modelling applications in population ecology, as well as an explosion of new techniques reflecting the availability of new technologies (e.g. affordable and accurate Global Positioning Systems) and advances in molecular biology. This new edition has been updated and revised with more recent examples replacing older ones where appropriate. The book's trademark question-driven approach has been maintained and some important topics such as the metapopulation concept which are missing entirely from the current edition are now included throughout the text.