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Introductory Statistics For Biology

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Introductory Statistics for Biology

Introductory Statistics for Biology Book
Author : R. E. Parker,Reginald Ernest Parker
Publisher : Cambridge University Press
Release : 1991-10-03
ISBN : 9780521427784
Language : En, Es, Fr & De

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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.

Introductory Statistics for Biology Students Second Edition

Introductory Statistics for Biology Students  Second Edition Book
Author : Trudy A. Watt
Publisher : CRC Press
Release : 1997-10-01
ISBN : 9780412807602
Language : En, Es, Fr & De

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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.

Introduction to Statistics for Biology Third Edition

Introduction to Statistics for Biology  Third Edition Book
Author : Trudy A. Watt,Robin H. McCleery,Tom Hart
Publisher : CRC Press
Release : 2007-05-17
ISBN : 1420011529
Language : En, Es, Fr & De

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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 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.

An Introduction To Experimental Design And Statistics For Biology

An Introduction To Experimental Design And Statistics For Biology Book
Author : David Heath
Publisher : CRC Press
Release : 1995-10-26
ISBN : 1135370117
Language : En, Es, Fr & De

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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

An Introduction to Basic Statistics for Biologists Using R

An Introduction to Basic Statistics for Biologists Using R Book
Author : Colin D. Macleod,Ross Macleod
Publisher : Practical Statistics for Biolo
Release : 2020-04-14
ISBN : 9781909832077
Language : En, Es, Fr & De

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Book Description :

This wrokbook provides biologists with an easy-to-follow introduction to conducting statistical analysis in R. It does this through a series of practical exercises based on easy-to-follow flow diagrams that show biologists exactly how to do a variety of key tasks.

Modern Statistics for Modern Biology

Modern Statistics for Modern Biology Book
Author : Susan Holmes,Wolfgang Huber
Publisher : Cambridge University Press
Release : 2018-11-30
ISBN : 1108427022
Language : En, Es, Fr & De

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Book Description :

A far-reaching course in practical advanced statistics for biologists using R/Bioconductor, data exploration, and simulation.

Introductory Statistics for Biology Students

Introductory Statistics for Biology Students Book
Author : Trudy A. Watt
Publisher : Chapman and Hall/CRC
Release : 1993-08
ISBN :
Language : En, Es, Fr & De

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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.

An Introduction to Statistical Analysis in Research Optimized Edition

An Introduction to Statistical Analysis in Research  Optimized Edition Book
Author : Kathleen F. Weaver,Vanessa C. Morales,Sarah L. Dunn,Kanya Godde,Pablo F. Weaver
Publisher : John Wiley & Sons
Release : 2017-08-10
ISBN : 1119301106
Language : En, Es, Fr & De

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Book Description :

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 j

Biostatistics with R

Biostatistics with R Book
Author : Babak Shahbaba
Publisher : Springer Science & Business Media
Release : 2011-12-15
ISBN : 1461413028
Language : En, Es, Fr & De

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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.