Very Good condition. 2nd edition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Bundled media such as CDs, DVDs, floppy disks or access codes may not be included.

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Bibliographic Details

Title: An Introduction to Statistical Problem Solving in Geography
Publisher: Waveland Pr Inc
Publication Date: 2009
Language: English
ISBN 10: 157766633X
ISBN 13: 9781577666332
Binding: Soft cover
Edition: 2nd Edition
Condition: Very Good

About this title

Synopsis

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.

From the Back Cover

“Accessible, rich, and chockfull of examples and illustrations, which make this text a must-have for students with an interest in quantitative geographic research.” — Todd Sink, Indiana State University

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