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Online Course Pack:Fundamentals of Anatomy & Physiology with IP 9-System Suite:Int Ed/iGenetics:A Molecular Approach:Int Ed/Biology:Int Ed/Principles ... and Data Handling Skills in Biology
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Description
Product Description Fundamentals of Anatomy & Physiology with IP 9-System Suite: International Edition 7/E Frederic Martini builds on his best-selling text by enhancing the award-winning art program, improving the clarity of the text, and adding an elegant, reader-friendly design to the Seventh Edition. iGenetics: A Molecular Approach: International Edition 2/E iGenetics: A Molecular Approach reflects the dynamic nature of modern genetics by emphasizing an experimental, inquiry-based approach with a solid treatment of many research experiments. The text is ideally suited for students who have had some background in biology and chemistry and who are interested in learning the central concepts of genetics. Biology: International Edition 7/E Neil Campbell and Jane Reece's BIOLOGYremains unsurpassed as the most successful majors biology textbook in the world. This text has invited more than 4 million students into the study of this dynamic and essential discipline. Principles of Biochemistry: International Edition 4/E This concise, introductory text focuses on the basic principles of biochemistry, filling the gap between the encyclopedic volumes and the cursory overview texts. The book has a well-deserved reputation for being the most accurate biochemistry textbook in the market. CourseCompass with E-book Student Access Kit for Biology Value Pack Version 7/E Statistical and Data Handling Skills in Biology 2/E 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. From the Back Cover 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 the often overlooked subject of 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 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. Key features Innovative decision chart guides you to the correct statistical test Clear, concise coverage of essential concepts Self assessment exercises improve your confidence in using numbers Covers experimental design and shows you how to present your data Straightforward explanations with a minimum of equations · Step by step instructions on how to carry out statistical tests on both a calculator and computer packages New to this edition New coverage of non-parametric tests New chapters covering distribution of data and carrying out transformations Extended coverage of analysis of variance to examine repeated measures and two-way ANOVA · Minitab replaced by SPSS (version 13) throughout the book, with a separate, complete guide to SPSS also available online. This book is the ideal companion for biologists at all levels: as a text for undergraduate students; as a self-study guide; or as a laboratory handbook for the working biologist. Roland Ennos is a Reader in the Faculty of Life Sciences at Manchester University where he teaches Biomathematics to both undergraduate and postgraduate students.
Product Specifications
- Format
- paperback
- ASIN
- 1405888512
- Category
- Books > Subjects > Science, Nature & Maths > Medicine > Medical Sciences A-Z > Pre-clinical Medicine
- Domain
- Amazon UK
- Release Date
- 01 October 2007
- Listed Since
- 04 October 2007
Barcode
No barcode data available
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