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An introduction to statistical problem solving in geography

Author: J Chapman McGrew; Charles B Monroe
Publisher: Long Grove, Ill. : Waveland Press, 2009.
Edition/Format:   Print book : English : Second editionView all editions and formats
Summary:
"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.  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: J Chapman McGrew; Charles B Monroe
ISBN: 157766633X 9781577666332
OCLC Number: 320406809
Description: x, 254 pages : illustrations, maps ; 29 cm
Contents: Introduction: the context of statistical techniques --
Geographic data: characteristics and preparation --
Descriptive statistics --
Descriptive spatial statistice --
Probability --
Basic elements of sampling --
Estimation in sampling --
Elements inferential statistics --
Two-sample and matched-pairs (dependent-sample) difference tests --
Three-or-more-sample difference tests: analysis of variance methods --
Goodness-of-fit and categorical difference tests --
Inferential spatial statistics --
Correlation --
Regression --
Epilogue: geographic problem solving in practical situations.
Responsibility: J. Chapman McGrew, Charles B. Monroe.
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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.

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