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  <titleInfo>
    <title>Data-handling in biomedical science</title>
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  <name type="personal">
    <namePart>White, Peter</namePart>
    <namePart type="date">1931-</namePart>
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    <place>
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    <place>
      <placeTerm type="text">New York</placeTerm>
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    <publisher>Cambridge University Press</publisher>
    <dateIssued>2010</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xvi, 241 p. : ill. ; 24 cm.</extent>
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  <abstract>"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.</abstract>
  <abstract>"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.</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">Peter White.</note>
  <note>Includes bibliographical references (p. 236) and index.</note>
  <subject authority="lcsh">
    <topic>Microbiology</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="mesh">
    <topic>Microbiological Phenomena</topic>
  </subject>
  <subject authority="mesh">
    <topic>Statistics as Topic</topic>
  </subject>
  <classification authority="lcc">QR 69 .D35W45 2010</classification>
  <classification authority="ddc" edition="22">616.9/041</classification>
  <classification authority="nlm">2010 F-330</classification>
  <classification authority="nlm">QW 4</classification>
  <identifier type="isbn">9780521194556</identifier>
  <identifier type="isbn">0521194555</identifier>
  <identifier type="isbn">9780521143868 (pbk.)</identifier>
  <identifier type="isbn">0521143861 (pbk.)</identifier>
  <identifier type="lccn">2009053993</identifier>
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