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  <titleInfo>
    <title>Statistics for people who (think they) hate statistics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Salkind, Neil J.</namePart>
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  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">cau</placeTerm>
    </place>
    <dateIssued encoding="marc">2017</dateIssued>
    <edition>6 Edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxix, 519 pages : illustrations ; 26 cm</extent>
  </physicalDescription>
  <tableOfContents>A note to the student: why I wrote this book -- About the author -- Yippee! I'm in statistics -- Statistics or sadistics? : it's up to you -- Zigma Freud and descriptive statistics -- Means to an end : computing and understanding averages -- Vive la difference : understanding variability -- A picture really is worth a thousand words -- Ice cream and crime : correlation coefficients -- Just the truth : an introduction to understanding reliability and validity -- Taking chances for fun and profit -- Hypotheticals and you : testing your questions -- Are your curves normal? : probability and why it counts -- Significantly different : using inferential statistics -- Significantly significant : what it means for you and me -- Only the lonely: the one-sample z-test -- T(ea) for Two : tests between the means of different groups -- T(ea) for Two (again) : tests between the means of related groups -- Two groups too many? : try analysis of variance -- Two too many factors : factorial analysis of variance?a brief introduction -- Cousins or just good friends? : testing relationships using the correlation coefficient -- Predicting who'll win the super bowl : using linear regression -- Big data (tentative title) -- What to do when you?re not normal : chi-square and some other nonparametric tests -- Some other (important) statistical procedures you should know about -- A statistical software sampler -- Ten things you?ll want to know and remember -- The 10 (or more) best internet sites for statistics stuff -- The 10 commandments of data collection -- Appendix a: spss in less than 30 minutes -- Appendix b: tables -- Appendix c: data sets -- Appendix d: answers to practice questions -- Appendix e: math: just the basics -- Glossary -- Index.</tableOfContents>
  <note type="statement of responsibility">Neil J. Salkind, University of Kansas.</note>
  <note>Revised edition of the author's Statistics for people who (think they) hate statistics, 2014.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Statistics</topic>
  </subject>
  <classification authority="lcc">HA29 .S2365 2017</classification>
  <classification authority="ddc" edition="23">519.5</classification>
  <identifier type="isbn">9781506333830 (pbk. : alk. paper)</identifier>
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  <identifier type="lccn">2016020160</identifier>
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    <recordIdentifier source="AUA.1">19087603</recordIdentifier>
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