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Statistics in Geography: A Practical Approach - Revised with 17 Programs
 
 
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Statistics in Geography: A Practical Approach - Revised with 17 Programs (Paperback)

by David Ebdon (Author) "It is difficult to give a satisfactory definition of statistics..." (more)
Key Phrases: weighted mean centre, data checking routine, standard deviational ellipse, Example Output, Program Listing, Factory Road (more...)
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Customers buy this book with Statistical Methods for Geography: A Student's Guide by Peter A. Rogerson

Statistics in Geography: A Practical Approach - Revised with 17 Programs + Statistical Methods for Geography: A Student's Guide
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Editorial Reviews

Review

Reviews of the first edition

‘… the book is one of the most successful among statistical geography texts in achieving its aim of a clear, painless, and well-illustrated introduction to difficult concepts.’ Geographical Analysis

‘Highly recommended for its clarity and exemplification … the author and publishers have certainly made the text clear, easily readable an interesting with many good figures and tables, worked examples and directly related exercises with 18 pages of answers and explanations to the latter.’ Royal Statistical Society

‘The features I particularly like are the number of examples and class exercises, the constant attempts to relate each method back to statistical theory, and the useful diagrams. The author succeeds at showing why statistical tests have sampling distributions, produces some outstanding diagrams to illustrate linear regression, and has a fine set of statistical tables.’ Journal of Geography

Product Description
Statistics in Geography has established itself as the best introductory textbook on the subject: the author makes statistical concepts and techniques intelligible and their applications in a wide variety of problems comprehensible, even exciting. The main feature of this much-awaited new edition is a set of 17 computer programs (with sample outputs) that cover nearly all the statistical techniques described. These have been carefully written to be user-friendly in an elementary subset of Basic to make them simple to implement on most microcomputers. This means students can be more adventurous in their applications and interpretations of statistical techniques. The author has, at the same time, retained all the worked examples in the book so that the reader can gain insight into the logic of the methods by working through them by hand. These, together with problems of various levels of complexity plus comprehensive answers at the back of the book, provide the student with a clear and thorough understanding of both the methods and their potential applications.

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