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Data-Handling in Biomedical Science: Book by Peter White

Data-Handling in Biomedical Science

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ISBN: 9780521143868    Publisher: Cambridge Year of publishing: 2010     Format:  Paperback No of Pages: 258        Language: English
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...Read more
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.
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About the author: Peter White
Peter White taught practical classes and tutorials in microbiology for over 30 years during his time as a Lecturer and Senior Lecturer at Sheffield University.... Read more
Peter White taught practical classes and tutorials in microbiology for over 30 years during his time as a Lecturer and Senior Lecturer at Sheffield University. His research interests include microbial drug-resistance, biochemistry of bacterial walls and metabolism of members of the genus Bacillus. He is a member of the Society for General Microbiology and a past member of the Biochemical Society and the American Society for Microbiology.
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Review:
'This is an excellent and most welcome book. It combines a refresher course in mathematics (for those who need it) with a comprehensive range of data-handling problems and worked examples in...Read more
'This is an excellent and most welcome book. It combines a refresher course in mathematics (for those who need it) with a comprehensive range of data-handling problems and worked examples in biochemistry and microbiology - invaluable for both students and tutors.' John R. Guest FRS, University of Sheffield
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