Data-handling in biomedical science
By: Peter White
Publisher: Cambridge University Press
Published: 2010
Place of publication: Cambridge; New York
Language: eng
ISBN-13: 9780521194556; 9780521143868
Description: "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"--Provided by publisher.

"Data-handling means the interpreting and refining of experimental results. This book is aimed at helping to improve confidence and skill in data-handling. It is intended for undergraduate students, and for graduate students who may still have a little to learn. Although microbiology began with simple observations (the organisms are small, they have various shapes, and some are motile) the subject has become a quantitative, experimental science. As an example consider the following statement: 'Poly ?-hydroxybutyrate may make up 70% of the dry weight of Azotobacter'"--Provided by publisher.
Notes: Includes index.
Table of contents: title: Machine generated contents note: Acknowledgements; Introduction; Abbreviations and Système International; How important is maths in data-handling?; 1. Numbers and indices; 2. A sense of proportion; 3. Graphs; 4. Algebra; 5. Logarithms; 6. Simple statistics; 7. Preparing solutions and media; 8. Growth in batch cultures; 9. Growth in continuous culture; 10. Enzymes; 11. Spectrophotometry; 12. Energy metabolism; 13. Radioactivity; 14. Microbial genetics; 15. Problems; 16. Advice and hints; 17. Answers; Conclusion; Index.