Data-handling in biomedical science /
White, Peter, 1931-
Data-handling in biomedical science / Peter White. - Cambridge ; New York : Cambridge University Press, 2010. - xvi, 241 p. : ill. ; 24 cm.
Includes bibliographical references (p. 236) and index.
1. Numbers and indices -- 2. A sense of proportion -- 3. Graphs -- 4. Algebra -- 5. Logarithms : exponential and logarithmic functions -- 6. Simple statistics -- 7. Preparing solutions and media -- 8. Enzymes -- 9. Spectrophotometry -- 10. Energy metabolism -- 11. Radioactivity -- 12. Growth in batch cultures -- 13. Growth in continuous culture -- 14. Microbial genetics -- 15. Problems -- 16. Advice and hints -- 17. Answers to problems.
"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.
9780521194556 0521194555 9780521143868 (pbk.) 0521143861 (pbk.)
2009053993
GBB021875 bnb
015483561 Uk 101532234 DNLM
Microbiology--Data processing.
Microbiological Phenomena.
Statistics as Topic.
QR 69 / .D35W45 2010
616.9/041
2010 F-330 QW 4
Data-handling in biomedical science / Peter White. - Cambridge ; New York : Cambridge University Press, 2010. - xvi, 241 p. : ill. ; 24 cm.
Includes bibliographical references (p. 236) and index.
1. Numbers and indices -- 2. A sense of proportion -- 3. Graphs -- 4. Algebra -- 5. Logarithms : exponential and logarithmic functions -- 6. Simple statistics -- 7. Preparing solutions and media -- 8. Enzymes -- 9. Spectrophotometry -- 10. Energy metabolism -- 11. Radioactivity -- 12. Growth in batch cultures -- 13. Growth in continuous culture -- 14. Microbial genetics -- 15. Problems -- 16. Advice and hints -- 17. Answers to problems.
"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.
9780521194556 0521194555 9780521143868 (pbk.) 0521143861 (pbk.)
2009053993
GBB021875 bnb
015483561 Uk 101532234 DNLM
Microbiology--Data processing.
Microbiological Phenomena.
Statistics as Topic.
QR 69 / .D35W45 2010
616.9/041
2010 F-330 QW 4