<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <nonSort>An </nonSort>
    <title>introduction to statistical problem solving in geography</title>
  </titleInfo>
  <titleInfo type="alternative">
    <title>Statistical problem solving in geography</title>
  </titleInfo>
  <name type="personal">
    <namePart>McGrew, J. Chapman.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Monroe, Charles B.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">ilu</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Long Grove, Ill</placeTerm>
    </place>
    <publisher>Waveland Press</publisher>
    <dateIssued>c2000</dateIssued>
    <dateIssued encoding="marc">2000</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">Eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>x, 254 p. : ill., maps ; 28 cm.</extent>
  </physicalDescription>
  <abstract>"Written for undergraduate geography majors and entry-level graduate students with limited backgrounds in statistical analysis and methods, McGrew and Monroe provide a comprehensive and understandable introduction to statistical methods in a problem-solving framework. Engaging examples and problems are drawn from a variety of topical areas in both human and physical geography and are fully integrated into the text. Without compromising statistical rigor or oversimplifying, the authors stress the importance of written narratives that explain each statistical technique. After introducing basic statistical concepts and terminology, the authors focus on nonspatial and spatial descriptive statistics. They transition to inferential problem solving, including probability, sampling, and estimation, before delving deeper into inferential statistics for geographic problem solving. The final chapters examine the related techniques of correlation and regression. A list of major goals and objectives is included at the end of each chapter, allowing students to monitor their own progress and mastery of geographic statistical materials. An epilogue, offering over 150 geographic situations, gives students a chance to figure out which statistical technique should be used for a particular situation."--back cover.</abstract>
  <note type="statement of responsibility">J. Chapman McGrew, Charles B. Monroe.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Geography</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject>
    <topic>Geografía</topic>
    <topic>Métodos estadísticos</topic>
  </subject>
  <classification authority="ddc">910/.2/1</classification>
  <identifier type="isbn">9781577666332</identifier>
  <identifier type="isbn">157766633X</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">AU@</recordContentSource>
    <recordCreationDate encoding="marc">100119</recordCreationDate>
    <recordChangeDate encoding="iso8601">20230410143435.0</recordChangeDate>
    <recordIdentifier>14aG 70.3bM478i 2000</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
