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Statistics For Terrified Biologists

Author: Helmut van Emden
Publisher: John Wiley & Sons
ISBN: 1118541677
Size: 13.35 MB
Format: PDF, Kindle
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“We highly recommend it—not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory.” –The Quarterly Review of Biology, March 2009 "During the entire course of my Ph.D. I've been (embarrasingly) looking for a way to teach myself the fundamentals of statistical analysis. At this point in my education, I've come to realize that often times, simply knowing the basics is enough for you to properly apply even the most complex analytical methods. ‘Statistics for Terrified Biologists’ has been just such a book - it was more than worth the $40 I spent on it, and while my 'book clubs' aren't meant to be reviews, I highly recommend the book to anyone who's in a similar predicament to my own." –Carlo Artieri's Blog Book Club The typical biology student is “hardwired” to be wary of any tasks involving the application of mathematics and statistical analyses, but the plain fact is much of biology requires interpretation of experimental data through the use of statistical methods. This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists draws on the author’s 30 years of lecturing experience. One of the foremost entomologists of his generation, van Emden has an extensive track record for successfully teaching statistical methods to even the most guarded of biology students. For the first time basic methods are presented using straightforward, jargon-free language. Students are taught to use simple formulae accurately to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple illustrations and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.

Statistics For Biologists

Author: David John Finney
Publisher: Chapman & Hall
ISBN:
Size: 24.26 MB
Format: PDF
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Problems, data, questions; Probability and other definitions; Combining probabilities; Significance, binomials, and X2; Continuous variates; Inference on means: the normal distribution; Unknown variance: the t-distribution; Design of experiments; Comparisons between means; Additional topics.

Statistical Methods In Biology

Author: Norman T. J. Bailey
Publisher: Cambridge University Press
ISBN: 9780521469838
Size: 52.80 MB
Format: PDF, ePub, Docs
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Generations of biologists have relied on this useful book, which presents the basic concepts of statistics lucidly and convincingly. It recognizes that students must be aware of when to use standard techniques and how to apply the results they obtain. Because many biologists do not have a strong mathematical background, the arguments are gauged in terms that can be easily understood by those with only an elementary knowledge of algebra. Mathematical derivations are avoided and formulae are only used as a convenient shorthand. Although the subject is presented with great simplicity, the coverage is wide and will satisfy the needs of those working in many disciplines. New material for this third edition includes consideration of pocket electronic calculators and a special chapter devoted to a discussion of problems associated with numerical calculation, electronic calculators, and computers.

Handbook Of Statistical Systems Biology

Author: Michael Stumpf
Publisher: John Wiley & Sons
ISBN: 1119952042
Size: 45.60 MB
Format: PDF, ePub, Docs
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Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters. This book: Provides a comprehensive account of inference techniques in systems biology. Introduces classical and Bayesian statistical methods for complex systems. Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems. Discusses various applications for statistical systems biology, such as gene regulation and signal transduction. Features statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies. Presents an in-depth presentation of reverse engineering approaches. Provides colour illustrations to explain key concepts. This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.

Essential Ornithology

Author: Graham Scott
Publisher: Oxford University Press
ISBN: 019856998X
Size: 67.74 MB
Format: PDF
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A concise but comprehensive introduction to the biology of birds, one of the most widely studied taxonomic groups. The book starts with the controversial question of the dinosaur origins of birds and their subsequent evolution. Development, anatomy, and physiology are then discussed followed by chapters devoted to avian reproduction, ecology, and behaviour. Sections dealing with aspects of bird/human relationships and bird conservation give the book an appliedcontext.

Experimental Design For The Life Sciences

Author: Graeme Ruxton
Publisher: Oxford University Press
ISBN: 0199569126
Size: 56.10 MB
Format: PDF
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Experimental Design for the Life Sciences teaches the reader how to effectively design experiments to ensure today's students are equipped with the skills they need to be the researchers of tomorrow. With a refreshingly approachable and articulate style, the book explains the essential elements of experimental design in clear, practical terms, so the reader can grasp and apply even the most challenging concepts, including power analysis andpseudoreplication. The inter-relatedness of experimental design, statistics, and ethical considerations is emphasised throughout the book and, above all, Experimental Design for the Life Sciencesdemonstrates how good experimental design relies on clear thinking and biological understanding, not mathematical or statistical complexity - putting it at the heart of any biosciences student's education.

Thermodynamics And Kinetics For The Biological Sciences

Author: Gordon G. Hammes
Publisher:
ISBN: 9780471374916
Size: 54.17 MB
Format: PDF, ePub
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Gain a working knowledge of thermodynamics and kinetics with a minimum of mathematics-a guide for individuals in the biological sciences An understanding of thermodynamics and kinetics is essential for researchers investigating molecular phenomena in diverse disciplines, including bioorganic chemistry, medicinal chemistry, biochemistry, pharmaceuticals, and biology. The use of these physical chemistry tools in the biological sciences has exploded over the past fifteen years, but the majority of works on thermodynamics and kinetics require mathematical expertise beyond that of many researchers in the field. Presenting a highly accessible introduction to thermodynamics and kinetics, Thermodynamics and Kinetics for the Biological Sciences employs a minimum of mathematics, assuming only a basic calculus background, while treating a wide range of topics in a logical and easy-to-follow style. All principles and concepts are clearly illustrated through the use of relevant applications and examples from the biological sciences, and explanations are further enhanced with problems and up-to-date references. Written by a world-renowned authority on biochemical kinetics, this remarkable book also features an easy-to-understand statistical development of entropy and a more extensive coverage of chemical kinetics and ligand binding to macromolecules than is usually found in books of this kind. Readers will acquire a working knowledge of thermodynamics and kinetics that they can readily apply to biological systems and use for exploring the scientific literature.

Basic Statistical Methods And Models For The Sciences

Author: Judah Rosenblatt
Publisher: CRC Press
ISBN: 9781584881476
Size: 50.58 MB
Format: PDF, Kindle
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The use of statistics in biology, medicine, engineering, and the sciences has grown dramatically in recent years and having a basic background in the subject has become a near necessity for students and researchers in these fields. Although many introductory statistics books already exist, too often their focus leans towards theory and few help readers gain effective experience in using a standard statistical software package. Designed to be used in a first course for graduate or upper-level undergraduate students, Basic Statistical Methods and Models builds a practical foundation in the use of statistical tools and imparts a clear understanding of their underlying assumptions and limitations. Without getting bogged down in proofs and derivations, thorough discussions help readers understand why the stated methods and results are reasonable. The use of the statistical software Minitab is integrated throughout the book, giving readers valuable experience with computer simulation and problem-solving techniques. The author focuses on applications and the models appropriate to each problem while emphasizing Monte Carlo methods, the Central Limit Theorem, confidence intervals, and power functions. The text assumes that readers have some degree of maturity in mathematics, but it does not require the use of calculus. This, along with its very clear explanations, generous number of exercises, and demonstrations of the extensive uses of statistics in diverse areas applications make Basic Statistical Methods and Models highly accessible to students in a wide range of disciplines.

The R Book

Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 1118448960
Size: 35.30 MB
Format: PDF, ePub
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Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008) ‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book…’ (Professional Pensions, July 2007)