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  <titleInfo>
    <title>Statistics for nursing</title>
  </titleInfo>
  <name type="personal">
    <namePart>Heavey, Elizabeth</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">xx</placeTerm>
    </place>
    <dateIssued encoding="marc">2019</dateIssued>
    <edition>Third edition</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">und</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xii, 301 pages  illustrations 23 cm</extent>
  </physicalDescription>
  <abstract>This text is designed in accordance with the Conversation Theory of Gordon Pask and presents the complicated topic of statistics in an understandable manner for entry level nurses. The underlying principle of this design is to give students the opportunity to practice statistics while they learn statistics. The text accomplishes this through the inclusion of relevant clinical examples followed by end of chapter application exercises</abstract>
  <tableOfContents>Introduction to statistics and levels of measurement -- Presenting data -- Descriptive statistics, probability, and measures of central tendency -- Measuring data -- Sampling methods -- Generating the research idea -- Sample size, effect size, and power -- Chi-square -- Student t-test -- Analysis of variance (ANOVA) -- Correlation coefficients -- Regression analysis -- Relative risk, odds ratio, and attributable risk</tableOfContents>
  <targetAudience>NURSING</targetAudience>
  <note type="statement of responsibility">Heavey, Elizabeth.</note>
  <note>Includes bibliographical references and index.</note>
  <subject>
    <topic>Nursing</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject>
    <topic>Nursing research</topic>
  </subject>
  <subject>
    <topic>Statistics as topic</topic>
  </subject>
  <classification authority="lcc">RT 68 H352 2019</classification>
  <identifier type="isbn">9781284142013</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">230719</recordCreationDate>
  </recordInfo>
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