Statistical And Data Handling Skills In Biology

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Statistical And Data Handling Skills in Biology

Author : Roland Ennos
Publisher : Pearson UK
ISBN 13 : 1292133112
Total Pages : 339 pages
Book Rating : 4.2/5 (921 download)

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Book Synopsis Statistical And Data Handling Skills in Biology by : Roland Ennos

Download or read book Statistical And Data Handling Skills in Biology written by Roland Ennos and published by Pearson UK. This book was released on 2018-01-17 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is there a link between people’s heart rate and blood pressure? Does the lead in petrol fumes affect the growth of roadside plants? The ability to expertly analyse statistical data is a crucial skill in the biological sciences – it is fundamental to fully understanding what your experiments are actually telling you and so being able to answer your research questions. Statistical and Data Handling Skills in Biology gives you everything you need to understand and use statistical tests within your studies and future independent research. Written in a straight-forward and easy to understand style it presents all of the tests you will need throughout your studies, and shows you how to select the right tests to get the most out of your experiments. All of this is done in the context of biological examples so you can see just how relevant a skill this is, and how becoming fully proficient will make you a more rounded scientist. This 4th edition has been thoroughly updated throughout and now includes detailed coverage of the free statistical package R studio and a new chapter on how to write about and present statistics in papers, theses and reports. The first chapter has also been revised to introduce students to the need for and ideas behind statistical analysis. Features · Clear explanation with step by step detail of how to carry out a wide range of statistical analyses will help you to quickly gain understanding and confidence in this essential area. · Useful decision charts will help you to select the right statistical test and gain confidence in answering your research questions. · Real world examples in each chapter will help you to develop an applied understanding of the full range of statistical techniques · Self-assessment problems scenarios at the end of each chapter enable you to practice applying your understanding of a technique, thereby improving your confidence in using numbers. Guided answers allow you to check your understanding. Statistical and Data Handling Skills in Biology 4th edition is ideal for any biomedic or environmental scientist getting to grips with statistical analysis for use in class on as part of independent study.

Statistical and Data Handling Skills in Biology

Author : Roland Ennos
Publisher : Pearson Education
ISBN 13 : 9780131955844
Total Pages : 252 pages
Book Rating : 4.9/5 (558 download)

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Book Synopsis Statistical and Data Handling Skills in Biology by : Roland Ennos

Download or read book Statistical and Data Handling Skills in Biology written by Roland Ennos and published by Pearson Education. This book was released on 2007 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical and Data Handling Skills in Biology puts statistics into context to show biology students the relevance of statistical analysis. It covers all the statistical tests a biology student would need throughout their study; demonstrates their uses and rationale; and describes how to perform them using both a calculator and the SPSS computer package. All of this is done in the context of biological examples so students can understand why they need statistics and how to get the most out of them throughout the course of their study. It also covers experimental design and shows students how to present their statistical data. The author has developed an innovative decision chart for statistical tests which directs students to the tests they need to perform depending on the analysis they are working on.

Statistical and Data Handling Skills in Biology

Author : A. R. Ennos
Publisher : Longman Group United Kingdom
ISBN 13 : 9780582312784
Total Pages : 132 pages
Book Rating : 4.3/5 (127 download)

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Book Synopsis Statistical and Data Handling Skills in Biology by : A. R. Ennos

Download or read book Statistical and Data Handling Skills in Biology written by A. R. Ennos and published by Longman Group United Kingdom. This book was released on 2000 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: All biologists need to be able to handle numbers, yet students of biology often approach this topic fearfully. This guide helps to develop key skills for the study of biology in the minimum time through guided practise. Statistical and Data Handling Skills in Biology is an easy-to-use handbook which concentrates on essentials. It explains why certain mathematical concepts can help in biology and describes them in simple language and pictures with few equations. Numerous worked examples and problems from real biological situations are provided. The book first shows how to handle numbers and S.I. units. It then explains why variation is such a problem in biology and shows how to use statistical tests to separate real effects from the background variation. Finally it explains how to choose appropriate statistical tests to analyse data and how to improve the design of experiments. Students will develop confidence in dealing with numbers by working through the problems provided.*Takes a biological viewpoint*Concise coverage of essential concepts*Guidance on using computer-based statistical packages*Decision charts for choosing statistical tests*Worked examples and problems, with solutio

Data Handling Skills in Biology

Author : George Hook
Publisher :
ISBN 13 : 9780582868540
Total Pages : 47 pages
Book Rating : 4.8/5 (685 download)

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Book Synopsis Data Handling Skills in Biology by : George Hook

Download or read book Data Handling Skills in Biology written by George Hook and published by . This book was released on 1989 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Essential Statistics for Bioscientists

Author : Mohammed Meah
Publisher : John Wiley & Sons
ISBN 13 : 1119712025
Total Pages : 260 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Essential Statistics for Bioscientists by : Mohammed Meah

Download or read book Essential Statistics for Bioscientists written by Mohammed Meah and published by John Wiley & Sons. This book was released on 2022-06-16 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the most common statistical tests and software packages used for scientific data analysis and interpretation In Essential Statistics For Bioscientists, experienced university and bioscientist Dr Mohammed Meah delivers easy access to statistical analysis and data presentation. It is a great resource for students in the field of life and health sciences to conceptualize, analyze, and present data. This book uses three popular and commonly used statistics softwares—Microsoft Excel, Graphpad Prism, and SPSS—and offers clear, step-by-step instructions for essential data analysis and graphical/tabular display of data. Beginning with fundamental statistics terminology and concepts, including data types, descriptive statistics (central and spread of data), exploratory statistics (graphical display) and inferential statistics (hypothesis testing and correlation), the content gradually builds in complexity, explaining which statistical test is best suited and how to perform it. A thorough introduction to basic statistical terms and building up to an advanced level of statistical application- ideal for those new to study of statistics Extensive application of three popular software packages- Microsoft Excel, Graphpad Prism and SPSS Numerous hands-on examples of performing data analysis using Microsoft Excel, Graphpad Prism, and SPSS Considers the limitations and errors of statistical analysis Essential reading for those designing and planning a research project in Biosciences Perfect for undergraduate students in the life and health sciences, Essential Statistics For Bioscientists will also earn a place in the libraries of anyone studying medicine, nursing, physiotherapy, pharmacy, and dentistry requiring a refresher or primer on statistical fundamentals.

Standard and Super-Resolution Bioimaging Data Analysis

Author : Ann Wheeler
Publisher : John Wiley & Sons
ISBN 13 : 1119096936
Total Pages : 285 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Standard and Super-Resolution Bioimaging Data Analysis by : Ann Wheeler

Download or read book Standard and Super-Resolution Bioimaging Data Analysis written by Ann Wheeler and published by John Wiley & Sons. This book was released on 2017-10-12 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to the art and science of bioimaging data acquisition, processing and analysis Standard and Super-Resolution Bioimaging Data Analysis gets newcomers to bioimage data analysis quickly up to speed on the mathematics, statistics, computing hardware and acquisition technologies required to correctly process and document data. The past quarter century has seen remarkable progress in the field of light microscopy for biomedical science, with new imaging technologies coming on the market at an almost annual basis. Most of the data generated by these systems is image-based, and there is a significant increase in the content and throughput of these imaging systems. This, in turn, has resulted in a shift in the literature on biomedical research from descriptive to highly-quantitative. Standard and Super-Resolution Bioimaging Data Analysis satisfies the demand among students and research scientists for introductory guides to the tools for parsing and processing image data. Extremely well illustrated and including numerous examples, it clearly and accessibly explains what image data is and how to process and document it, as well as the current resources and standards in the field. A comprehensive guide to the tools for parsing and processing image data and the resources and industry standards for the biological and biomedical sciences Takes a practical approach to image analysis to assist scientists in ensuring scientific data are robust and reliable Covers fundamental principles in such a way as to give beginners a sound scientific base upon which to build Ideally suited for advanced students having only limited knowledge of the mathematics, statistics and computing required for image data analysis An entry-level text written for students and practitioners in the bioscience community, Standard and Super-Resolution Bioimaging Data Analysis de-mythologises the vast array of image analysis modalities which have come online over the past decade while schooling beginners in bioimaging principles, mathematics, technologies and standards.

The Analysis of Biological Data

Author : Michael C. Whitlock
Publisher : Macmillan Higher Education
ISBN 13 : 1319226299
Total Pages : 2074 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis The Analysis of Biological Data by : Michael C. Whitlock

Download or read book The Analysis of Biological Data written by Michael C. Whitlock and published by Macmillan Higher Education. This book was released on 2019-11-22 with total page 2074 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Analysis of Biological Data provides students with a practical foundation of statistics for biology students. Every chapter has several biological or medical examples of key concepts, and each example is prefaced by a substantial description of the biological setting. The emphasis on real and interesting examples carries into the problem sets where students have dozens of practice problems based on real data. The third edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to qualified instructors (see below).

An Introduction to Statistical Analysis in Research

Author : Kathleen F. Weaver
Publisher : John Wiley & Sons
ISBN 13 : 1119299683
Total Pages : 608 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis An Introduction to Statistical Analysis in Research by : Kathleen F. Weaver

Download or read book An Introduction to Statistical Analysis in Research written by Kathleen F. Weaver and published by John Wiley & Sons. This book was released on 2017-09-05 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insights into the techniques and interpretations of R, SPSS®, Excel®, and Numbers® output An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences develops a conceptual foundation in statistical analysis while providing readers with opportunities to practice these skills via research-based data sets in biology, kinesiology, and physical anthropology. Readers are provided with a detailed introduction and orientation to statistical analysis as well as practical examples to ensure a thorough understanding of the concepts and methodology. In addition, the book addresses not just the statistical concepts researchers should be familiar with, but also demonstrates their relevance to real-world research questions and how to perform them using easily available software packages including R, SPSS®, Excel®, and Numbers®. Specific emphasis is on the practical application of statistics in the biological and life sciences, while enhancing reader skills in identifying the research questions and testable hypotheses, determining the appropriate experimental methodology and statistical analyses, processing data, and reporting the research outcomes. In addition, this book: • Aims to develop readers’ skills including how to report research outcomes, determine the appropriate experimental methodology and statistical analysis, and identify the needed research questions and testable hypotheses • Includes pedagogical elements throughout that enhance the overall learning experience including case studies and tutorials, all in an effort to gain full comprehension of designing an experiment, considering biases and uncontrolled variables, analyzing data, and applying the appropriate statistical application with valid justification • Fills the gap between theoretically driven, mathematically heavy texts and introductory, step-by-step type books while preparing readers with the programming skills needed to carry out basic statistical tests, build support figures, and interpret the results • Provides a companion website that features related R, SPSS, Excel, and Numbers data sets, sample PowerPoint® lecture slides, end of the chapter review questions, software video tutorials that highlight basic statistical concepts, and a student workbook and instructor manual An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences is an ideal textbook for upper-undergraduate and graduate-level courses in research methods, biostatistics, statistics, biology, kinesiology, sports science and medicine, health and physical education, medicine, and nutrition. The book is also appropriate as a reference for researchers and professionals in the fields of anthropology, sports research, sports science, and physical education. KATHLEEN F. WEAVER, PhD, is Associate Dean of Learning, Innovation, and Teaching and Professor in the Department of Biology at the University of La Verne. The author of numerous journal articles, she received her PhD in Ecology and Evolutionary Biology from the University of Colorado. VANESSA C. MORALES, BS, is Assistant Director of the Academic Success Center at the University of La Verne. SARAH L. DUNN, PhD, is Associate Professor in the Department of Kinesiology at the University of La Verne and is Director of Research and Sponsored Programs. She has authored numerous journal articles and received her PhD in Health and Exercise Science from the University of New South Wales. KANYA GODDE, PhD, is Assistant Professor in the Department of Anthropology and is Director/Chair of Institutional Review Board at the University of La Verne. The author of numerous journal articles and a member of the American Statistical Association, she received her PhD in Anthropology from the University of Tennessee. PABLO F. WEAVER, PhD, is Instructor in the Department of Biology at the University of La Verne. The author of numerous journal articles, he received his PhD in Ecology and Evolutionary Biology from the University of Colorado.

Introduction to Statistical Analysis of Laboratory Data

Author : Alfred Bartolucci
Publisher : John Wiley & Sons
ISBN 13 : 1118736869
Total Pages : 259 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Introduction to Statistical Analysis of Laboratory Data by : Alfred Bartolucci

Download or read book Introduction to Statistical Analysis of Laboratory Data written by Alfred Bartolucci and published by John Wiley & Sons. This book was released on 2015-12-02 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as “fit for purpose” procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions

Computation in Complex Networks

Author : Clara Pizzuti
Publisher : MDPI
ISBN 13 : 3036506829
Total Pages : 352 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Computation in Complex Networks by : Clara Pizzuti

Download or read book Computation in Complex Networks written by Clara Pizzuti and published by MDPI. This book was released on 2021-09-02 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex networks are one of the most challenging research focuses of disciplines, including physics, mathematics, biology, medicine, engineering, and computer science, among others. The interest in complex networks is increasingly growing, due to their ability to model several daily life systems, such as technology networks, the Internet, and communication, chemical, neural, social, political and financial networks. The Special Issue “Computation in Complex Networks" of Entropy offers a multidisciplinary view on how some complex systems behave, providing a collection of original and high-quality papers within the research fields of: • Community detection • Complex network modelling • Complex network analysis • Node classification • Information spreading and control • Network robustness • Social networks • Network medicine

Reconciling Human Needs and Conserving Biodiversity: Large Landscapes as a New Conservation Paradigm

Author : Bila-Isia Inogwabini
Publisher : Springer Nature
ISBN 13 : 3030387283
Total Pages : 390 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Reconciling Human Needs and Conserving Biodiversity: Large Landscapes as a New Conservation Paradigm by : Bila-Isia Inogwabini

Download or read book Reconciling Human Needs and Conserving Biodiversity: Large Landscapes as a New Conservation Paradigm written by Bila-Isia Inogwabini and published by Springer Nature. This book was released on 2020-02-18 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protected areas have often been defined as the backbones of biodiversity conservation. Protected areas have often been defined as the backbones of biodiversity conservation. However, legitimate demands formulated by countries for their economic development, growing human populations, forest fragmentations, and needs of local communities for sustainable livelihoods are also pressing demands on protected areas, stringently pressuring conservation community to identify means to reconcile long term biodiversity conservation and communities’ livelihoods. Hence, integrating conservation activities within the global framework of economic development of countries with high biodiversity had become part of conservation paradigms. Integrated development as a route to conservation, strict protected areas, community managed areas, etc. have been tried but resulted in debatable outcomes in many ways. The lukewarm nature of these results brought ‘landscape approach’ at the front of biodiversity conservation in Central Africa. Since the late 1990s the landscape approach uses large areas with different functional attributes and shifts foundational biodiversity conservation paradigms. Changes are brought to the role traditionally attributed to local communities, aligning sustainable development with conservation and stretching conservation beyond the confines of traditional protected areas. These three shifts need a holistic approach to respond to different conservation questions. There are only a few instances where the landscape experience has been scientifically documented and lessons learnt drawn into a corpus of knowledge to guide future conservation initiatives across Central Africa. To subjugate one biodiversity conservation landscape as one case study emerged as a matter of urgency to present the potential knowledge acquired throughout the landscape experiment, including leadership and management, processes tried, results (at least partially) achieved, and why such and such other process or management arrangement were been chosen among many other alternatives, etc. The challenges of the implementation of the conservation landscape approach needed also to be documented. This book responds to the majority of these questions; drawing its content from the firsthand field knowledge, it discusses these shifts and documents what has been tried, how successful (unsuccessful) it was, and what lessons learnt from these trials. Theoretical questions such as threat index, and ecological services, etc. are also discussed and gaps in knowledge are identified.

Research Methods in Pharmacy Practice

Author : Zubin Austin
Publisher : Elsevier Health Sciences
ISBN 13 : 070207425X
Total Pages : 280 pages
Book Rating : 4.7/5 (2 download)

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Book Synopsis Research Methods in Pharmacy Practice by : Zubin Austin

Download or read book Research Methods in Pharmacy Practice written by Zubin Austin and published by Elsevier Health Sciences. This book was released on 2018-02-21 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive guide to applying research methods to practice problems. It uses case-based examples and activities rooted in practice to support development of knowledge, skills, and confidence in applying evidence-based research methods. An array of different methodologies and qualitative/quantitative methods are described. Examples of topics include distinction between methodologies and methods, ethics protocols, as well as design/implementation/data analysis/interpretation of findings using methods such as surveys, interviews, focus groups, observational research, database mining, text and document analysis, quality improvement (PDSA cycles), economic (cost/benefit) evaluations. Perfect for MPharm students doing their research thesis, but relevant to all bioscience students undertaking research projects. Use of pharmacy practice case examples (in community, hospital, ambulatory, primary care and other settings) throughout. Examples of how to tackle a research question from different perspectives, e.g. which is the best way to answer each question and why. Inter-professional practice and research emphasized. Self-assessment and self-reflection questions to help readers confirm their understanding/learning. A one-stop research-method teaching resource for faculty.

Data-Handling in Biomedical Science

Author : Peter White
Publisher : Cambridge University Press
ISBN 13 : 1139488201
Total Pages : pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Data-Handling in Biomedical Science by : Peter White

Download or read book Data-Handling in Biomedical Science written by Peter White and published by Cambridge University Press. This book was released on 2010-05-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The mathematical methods needed for problem-solving are described in the first part of the book, with chapters covering topics such as indices, graphs and logarithms. The following eight chapters explore data-handling in different areas of microbiology and biochemistry including microbial growth, enzymes and radioactivity. Each chapter is fully illustrated with worked examples that provide a step-by-step guide to the solution of the most common problems. Over 30 exercises, ranging in difficulty and length, allow you to practise your skills and are accompanied by a full set of hints and solutions.

Data Handling and Analysis

Author : Andrew D. Blann
Publisher :
ISBN 13 : 9780191975424
Total Pages : 0 pages
Book Rating : 4.9/5 (754 download)

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Book Synopsis Data Handling and Analysis by : Andrew D. Blann

Download or read book Data Handling and Analysis written by Andrew D. Blann and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Data Handling and Analysis' provides a broad review of the quantitative skills needed to be an effective biomedical scientist. Spanning the collection, presentation, and analysis of data - and drawing on relevant examples throughout - it is the ideal introduction to the subject for any student of biomedical science.

Introduction to Statistics for Biology

Author : Trudy A. Watt
Publisher : CRC Press
ISBN 13 : 1420011529
Total Pages : 298 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Introduction to Statistics for Biology by : Trudy A. Watt

Download or read book Introduction to Statistics for Biology written by Trudy A. Watt and published by CRC Press. This book was released on 2007-05-17 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Methods in Biology

Author : S.J. Welham
Publisher : CRC Press
ISBN 13 : 1439898057
Total Pages : 592 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Statistical Methods in Biology by : S.J. Welham

Download or read book Statistical Methods in Biology written by S.J. Welham and published by CRC Press. This book was released on 2014-08-22 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 scien

Introductory Statistics for Biology

Author : R. E. Parker
Publisher : Cambridge University Press
ISBN 13 : 9780521427784
Total Pages : 132 pages
Book Rating : 4.4/5 (277 download)

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Book Synopsis Introductory Statistics for Biology by : R. E. Parker

Download or read book Introductory Statistics for Biology written by R. E. Parker and published by Cambridge University Press. This book was released on 1991-10-03 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.