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  <titleInfo>
    <title>Statistical hypothesis testing with SAS and R</title>
  </titleInfo>
  <name type="personal">
    <namePart>Taeger, Dirk</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Kuhnt, Sonja</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">enk</placeTerm>
    </place>
    <place>
      <placeTerm type="text">West Sussex</placeTerm>
    </place>
    <publisher>Wiley</publisher>
    <dateIssued>2014</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>292 p : ill.</extent>
  </physicalDescription>
  <abstract>"This book provides a reference guide to statistical tests and their application to data using SAS and R. A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. The test statistic is stated together with annotations on its distribution, along with examples in both SAS and R. Each example contains the code to perform the test, the output, and remarks that explain necessary program parameters"--</abstract>
  <abstract>"Presents a comprehensive guide to hypothesis testing using SAS and R"--</abstract>
  <tableOfContents>HKBU library</tableOfContents>
  <note type="statement of responsibility">Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany, Sonja Kuhnt, Department of Computer Science, Dortmund University of Applied Sciences and Arts, Dortmund, Germany.</note>
  <note type="venue">YT2025 M10</note>
  <subject authority="lcsh">
    <topic>Statistical hypothesis testing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>SAS (Computer program language)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>R (Computer program language)</topic>
  </subject>
  <subject authority="">
    <topic>MATHEMATICS / Probability &amp; Statistics / General</topic>
  </subject>
  <classification authority="lcc">QA277 T123 S 2014</classification>
  <identifier type="isbn">9781119950219</identifier>
  <identifier type="isbn">111995021X</identifier>
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    <recordContentSource authority="marcorg">SDU</recordContentSource>
    <recordCreationDate encoding="marc">131031</recordCreationDate>
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