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.

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.

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:

Download or read book Large Scale Data Handling in Biology written by and published by Bookboon. This book was released on with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

Download or read book Bioinformatics Data Skills written by Vince Buffalo and published by "O'Reilly Media, Inc.". This book was released on 2015-07 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youâ??ll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point in human history has our ability to understand lifeâ??s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, youâ??re ready to get started. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

Download or read book Data Handling and Analysis written by Andrew Blann and published by . This book was released on 2018-10-25 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 has been 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 analyticalapproaches that lead to diagnosis. Assuming only a minimum of prior knowledge, the series reviews the full range of disciplines to which a Biomedical Scientist may be exposed - from microbiology to cytopathology to transfusion science. Data Handling and Analysis is the most relevant and useful statistics and data analysis text for biomedical science students. Providing a broad review of the quantitative skills needed to be an effective biomedical scientist, the text spans the collection, presentation, and analysis of data. Itdraws on relevant examples throughout, creating an ideal introduction to the subject for any student of biomedical science.

Download or read book Data Handling Skills written by George Hook and published by . This book was released on 1989 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Handling for Science and Technology written by CODATA. and published by Amsterdam ; New York : Published by North-Holland Publishing Company for Committee on Data for Science and Technology and United Nations Educational, Scientific and Cultural Organization ; New York : sole distributors for the U.S.A. and Canada, Elsevier-North Holland. This book was released on 1980 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data generation; Treatment of data in the biosciences; Treatment of observational data in the geosciences: estimation and approximation of data; Analysis and interpretation of data; Presentation of data in the primary literature; Access to data in the primary literature; Compilation and evaluation of data; Standards and guidelines for data; Use of computers in handling of laboratory data; Accessibility and dissemination of data.

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.

Download or read book Lab Dynamics written by Carl M. Cohen and published by CSHL Press. This book was released on 2005 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Lab Dynamics is a book about the challenges to doing science and dealing with the individuals involved, including oneself. The authors, a scientist and a psychotherapist, draw on principles of group and behavioral psychology but speak to scientists in their own language about their own experiences. They offer in-depth, practical advice, real-life examples, and exercises tailored to scientific and technical workplaces on topics as diverse as conflict resolution, negotiation, dealing with supervision, working with competing peers, and making the transition from academia to industry." "This is a uniquely valuable contribution to the scientific literature, on a subject of direct importance to lab heads, postdocs, and students. It is also required reading for senior staff concerned about improving efficiency and effectiveness in academic and industrial research."--BOOK JACKET

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).

Download or read book Statistics for Ecologists Using R and Excel written by Mark Gardener and published by Pelagic Publishing Ltd. This book was released on 2017-01-16 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Statistical approaches covered include: data exploration; tests for difference – t-test and U-test; correlation – Spearman’s rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal–Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results. New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. – Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel – Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel. – Amazon 5-star review It has been very easy to follow and will be perfect for anyone. – Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. – Goodreads, 4-star review

Download or read book Data and Data Handling for A2 Level Biology written by Bill Indge and published by Hodder Murray. This book was released on 2003-06 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aims to help students of various ability levels develop skills of data interpretation, application and analysis. Tying into the scheme of assessment for A2 Biology, which places a proportion of marks upon these skills than at AS, this book uses both core exercises for A2 Biology, and broader exercises involving various areas of the specification.

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.

Download or read book Managing Your Biological Data with Python written by Allegra Via and published by CRC Press. This book was released on 2014-03-18 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how

Download or read book Computing Skills for Biologists written by Stefano Allesina and published by Princeton University Press. This book was released on 2019-01-15 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to key computing skills for biologists While biological data continues to grow exponentially in size and quality, many of today’s biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In Computing Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data. Based on the authors’ experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book’s examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more seasoned researchers will learn how to combine tools to make biological data analysis robust and reproducible. The book uses free software and code that can be run on any platform. Computing Skills for Biologists is ideal for scientists wanting to improve their technical skills and instructors looking to teach the main computing tools essential for biology research in the twenty-first century. Excellent resource for acquiring comprehensive computing skills Both novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysis Code examples based on published data spanning the breadth of biological disciplines Detailed solutions provided for exercises in each chapter Extensive companion website