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An Introduction to Statistical Problem Solving in Geography

by J. Chapman McGrew Jr., J. Chapman McGrew Jr., J. Chapman McGrew, Charles Monroe, Charles B Monroe1 more, Charles B. Monroe

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Geography students need a solid introduction to the variety of ways in which statistical procedures are used to explore and solve realistic geographic problems. This book is designed to provide a comprehensive and understandable introduction to statistical methods in a practical, problem solving framework. Students who use this text in a spatial analysis or statistical methods course should acquire a well-grounded foundation and feel comfortable in applying statistical techniques in research problems or situations that they might encounter in their subsequent geographic education and careers. This book is targeted for undergraduate geography majors and beginning graduate students who do not have a strong background in statistical approaches to geographic problem solving.… (more)
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Author nameRoleType of authorWork?Status
J. Chapman McGrew Jr.primary authorall editionscalculated
Jr., J. Chapman McGrewmain authorall editionsconfirmed
McGrew, J. Chapmanmain authorall editionsconfirmed
Monroe, Charlesmain authorall editionsconfirmed
Monroe, Charles Bmain authorall editionsconfirmed
Monroe, Charles B.main authorall editionsconfirmed
Lembo, Arthur J.main authorsome editionsconfirmed
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Geography students need a solid introduction to the variety of ways in which statistical procedures are used to explore and solve realistic geographic problems. This book is designed to provide a comprehensive and understandable introduction to statistical methods in a practical, problem solving framework. Students who use this text in a spatial analysis or statistical methods course should acquire a well-grounded foundation and feel comfortable in applying statistical techniques in research problems or situations that they might encounter in their subsequent geographic education and careers. This book is targeted for undergraduate geography majors and beginning graduate students who do not have a strong background in statistical approaches to geographic problem solving.

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