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Statistical And Data Handling Skills In Biology

Author: Roland Ennos
Publisher: Pearson UK
ISBN: 1292133112
Size: 61.27 MB
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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 Higher Ed
ISBN: 0273729519
Size: 19.39 MB
Format: PDF, ePub, Mobi
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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. Statistical and Data Handling Skills in Biology gives you everything you need to master statistical analysis. 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 choose 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 mastering it will make you a more rounded scientist.

Statistical And Data Handling Skills In Biology

Author: A. R. Ennos
Publisher: Pearson Education
ISBN: 9780131955844
Size: 52.83 MB
Format: PDF, Mobi
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The ideal companion for the working biologist, covering all the statistical tests needed throughout all levels of study. Uses the statistical test decision chart to point students to the correct test they need Biological examples used throughout the book Step by step instructions on carrying out statistical tests on both a calculator and using SPSS Demonstrates the relevance and usefulness of statistics to biology students Self assessment exercises throughout the book

Statistics With Applications In Biology And Geology

Author: Preben Blaesild
Publisher: CRC Press
ISBN: 1482285886
Size: 78.74 MB
Format: PDF, Mobi
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The use of statistics is fundamental to many endeavors in biology and geology. For students and professionals in these fields, there is no better way to build a statistical background than to present the concepts and techniques in a context relevant to their interests. Statistics with Applications in Biology and Geology provides a practical introduction to using fundamental parametric statistical models frequently applied to data analysis in biology and geology. Based on material developed for an introductory statistics course and classroom tested for nearly 10 years, this treatment establishes a firm basis in models, the likelihood method, and numeracy. The models addressed include one sample, two samples, one- and two-way analysis of variance, and linear regression for normal data and similar models for binomial, multinomial, and Poisson data. Building on the familiarity developed with those models, the generalized linear models are introduced, making it possible for readers to handle fairly complicated models for both continuous and discrete data. Models for directional data are treated as well. The emphasis is on parametric models, but the book also includes a chapter on the most important nonparametric tests. This presentation incorporates the use of the SAS statistical software package, which authors use to illustrate all of the statistical tools described. However, to reinforce understanding of the basic concepts, calculations for the simplest models are also worked through by hand. SAS programs and the data used in the examples and exercises are available on the Internet.

Maths From Scratch For Biologists

Author: Alan J. Cann
Publisher: John Wiley & Sons
ISBN: 1118685709
Size: 63.76 MB
Format: PDF, ePub, Mobi
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Numerical ability is an essential skill for everyone studying the biological sciences but many students are frightened by the 'perceived' difficulty of mathematics, and are nervous about applying mathematical skills in their chosen field of study. Having taught introductory maths and statistics for many years, Alan Cann understands these challenges and just how invaluable an accessible, confidence building textbook could be to the fearful student. Unable to find a book pitched at the right level, that concentrated on why numerical skills are useful to biologists, he wrote his own. The result is Maths from Scratch for Biologists , a highly instructive, informal text that explains step by step how and why you need to tackle maths within the biological sciences. Features: * An accessible, jargon-busting approach to help readers master basic mathematical, statistical and data handling techniques in biology * Numerous end of chapter problems to reinforce key concepts and encourage students to test their newly acquired skills through practise * A handy, time-saving glossary * A supplementary website with numerous problems and self-test exercises

Data Handling And Analysis

Author: Andrew Blann
Publisher: Oxford University Press, USA
ISBN: 0199667918
Size: 21.29 MB
Format: PDF, Docs
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Biomedical scientists are the foundation of modern healthcare, from cancer screening to diagnosing HIV, from blood transfusion for surgery to food poisoning and infection control. Without biomedical scientists, the diagnosis of disease, the evaluation of the effectiveness of treatment, andresearch into the causes and cures of disease would not be possible. The Fundamentals of Biomedical Science series is written to reflect the challenges of practicing biomedical science today. It draws together essential basic science with insights into laboratory practice to show how an understanding of the biology of disease is coupled to the analytical approachesthat lead to diagnosis. The series* Understands the complex roles of Biomedical Scientists in the modern practice of medicine* Understands the development needs of employers and the Profession* Addresses the need for understanding of a range of fundamental sciences in the context of Biomedicine* Places the theoretical aspects of Biomedical Science in their practical context The series is developed in partnership with and endorsed by the Institute of Biomedical Science. See a href="https://www.ibms.org/"ibms.org/a for more information. 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 - Data Handling and Analysis is the ideal introduction to thesubject for any student of biomedical science. Online Resource Centre The Online Resource Centre to accompany Data Handling and Analysis features: For registered adopters of the book:* Figures from the book, available to download

Modern Issues And Methods In Biostatistics

Author: Mark Chang
Publisher: Springer Science & Business Media
ISBN: 9781441998422
Size: 61.25 MB
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Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2) high-level complexity of data because they are longitudinal, incomplete, or latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reduction impossible, or because of extremely small or large size; and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face. This book is written for researchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce modern methods in biostatistics and help researchers and students quickly grasp key concepts and methods. Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed in this single volume.

Introduction To Statistical Analysis Of Laboratory Data

Author: Alfred Bartolucci
Publisher: John Wiley & Sons
ISBN: 1118736869
Size: 21.53 MB
Format: PDF
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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

Principles Of Statistical Data Handling

Author: Fred Davidson
Publisher: Sage Publications, Inc
ISBN: 9780761901020
Size: 54.97 MB
Format: PDF, Kindle
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This book will help the reader understand the principles of data handling and make better use of computer data in research or study. It demonstrates how to input, manipulate and debug data to make substantive analysis easier and more accurate. Using a series of principles, universal concepts that apply no matter what the data-gathering context or computer software, Fred Davidson presents a situation or a problem, suggests how it might be resolved and demonstrates the implementation of each principle as it appears in the command languages of SAS and SPSS.

Analysis Of Multivariate Survival Data

Author: Philip Hougaard
Publisher: Springer Science & Business Media
ISBN: 1461213045
Size: 63.55 MB
Format: PDF, Docs
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Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. As the field is rather new, the concepts and the possible types of data are described in detail. Four different approaches to the analysis of such data are presented from an applied point of view.