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  <titleInfo>
    <title>Applied statistics</title>
    <subTitle>fundamentals</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Pandey, Rakesh</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">ii</placeTerm>
    </place>
    <dateIssued encoding="marc">2019</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>viii, 275 pages : figures, tables ; 25 cm.</extent>
  </physicalDescription>
  <abstract>"Applied Statistics is intended to introduce the young readers to the more versatile statistical tools and techniques of estimation of parameters, testing of hypothesis, both in experimental and non-experimental set-ups, the use of multivariate models to answer many research questions in a single shot, data reduction techniques etc. Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and then-used to draw inferences about the process or population being studied; this is called inferential statistics. Both descriptive and inferential statistics comprise applied statistics. There is also a discipline called mathematical statistics, which is concerned with the theoretical basis of the subject. An intensive array of glossary, statistical tables and comprehensive index has also been incorporated in this book"-- Back cover.</abstract>
  <tableOfContents>Introduction to statistics -- Measures in probability theory -- Sampling methods -- Correlation and regression -- Estimation and population in statistics -- Theoretical distributions -- Probability histogram -- Statistics variables and its relations -- Analysis of variance -- Graphical method.</tableOfContents>
  <note type="statement of responsibility">Rakesh Pandey.</note>
  <note>Includes bibliography pages.</note>
  <subject authority="lcsh">
    <topic>Statistics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
  </subject>
  <classification authority="lcc">QA276 .A67 2019</classification>
  <classification authority="ddc">519.5 P192a</classification>
  <identifier type="isbn">9789352692859</identifier>
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