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  <titleInfo>
    <title>The art of statistics</title>
    <subTitle>how to learn from data</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Spiegelhalter, David</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <originInfo>
    <place>
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    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Hachette Book Group, Inc.</publisher>
    <dateIssued>2021</dateIssued>
    <edition>First US Trade Paperback</edition>
    <issuance>monographic</issuance>
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  <language>
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  <physicalDescription>
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    <extent>xvi, 426 pages:</extent>
    <extent>21 cm</extent>
  </physicalDescription>
  <abstract>Shows how to apply statistical reasoning to real-world problems. This isn`t simply memorizing formulas or using the tools in a spreadsheet; Spiegelhalter emphasizes the importance of clarifying questions, assumptions, and expectations, and-- more importantly-- knowing how to responsibly interpret the results the software generates</abstract>
  <tableOfContents> Introduction Getting things in proportion : categorical data and percentages Summarizing and communicating numbers : Lots of numbers Why are we looking at data anyway? : Populations and measurement What causes what? Modelling relationships using regression Algorithms, analytics and prediction How sure can we be about what is going on? : Estimates and intervals Probability : the language of uncertainty and variability Putting probability and statistics together Answering questions and claiming discoveries Learning from experience the Bayesian way How things go wrong How we can do statistics better In conclusion</tableOfContents>
  <note type="statement of responsibility">Spiegelhalter, David.</note>
  <note>Includes notes, glossary and index.</note>
  <note>English</note>
  <subject>
    <topic>Mathematical statistics</topic>
  </subject>
  <classification authority="lcc">519.5 S75a 2021</classification>
  <identifier type="isbn">9781541675704</identifier>
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    <recordCreationDate encoding="marc">251212</recordCreationDate>
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