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An Introduction to Statistical Problem Solving in Geography By J.Chapman McGrew

An Introduction to Statistical Problem Solving in Geography
by J.Chapman McGrew

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This geographically-oriented statistics text uses real-world examples from both human and physical geography. Features include: references to standard statistical software for statistical calculation, North American examples throughout, and emphasis on explanatory data analysis (EDA).
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An Introduction to Statistical Problem Solving in Geography Summary


An Introduction to Statistical Problem Solving in Geography by J.Chapman McGrew

This geographically-oriented statistics text is specifically designed for undergraduates. It comprises a text and workbook which use real-world examples from both human and physical geography. The workbook provides practice in problem solving. Other features include: references to standard statistical software for statistical calculation, including MINITAB and SPSS, North American examples throughout, and emphasis on explanatory data analysis (EDA).

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Table of Contents


Part 1 Basic Statistical Concepts in Geography: Introduction: The Context of Statistical Techniques; The Role of Statistical Methods; The Scientific Research Process/Statistical Concepts and Themes; Geographic Data: Characteristics and Preparation; Selected Dimensions of Geographic Data; Levels of Measurement; Measurement Concepts; Basic Classification Methods; Graphic Procedures. Part 2 Descriptive Problem Solving in Geography: Descriptive Statistics; Measures of Central Tendency; Measures of Dispersion and Variability; Measures of Shape or Relative Position; Spatial Data and Descriptive Statistics; Descriptive Spatial Statistics; Spatial Measures of Central Tendency; Spatial Measures of Dispersion; Locational Issues and Descriptive Spatial Statistics. Part 3 The Transition to Inferential Problem Solving: Probability/Deterministic and Probabilistic Processes; The Concept of Probability;; The Binomial Distribution; The Poisson Distribution; The Normal Distribution; Probability Mapping; Basic Elements of Sampling; Concepts in Sampling; Types of Probability Sampling; Spatial Sampling; Estimation in Sampling Basic Concepts in Estimation; Confidence Intervals and Estimation; Sample Size Selection. Part 4 Inferential Problem Solving in Geography: Elements of Inferential Statistics; Classical; Traditional Hypothesis Testing; P-Value or Prob-Value Hypothesis Testing; Related One Sample Difference Tests; Issues in Statistical Test Selection; Multiple Sample Difference Tests; Two Sample Difference Tests; Matched Pairs (Dependent Sample); Difference Tests; Three or More Sample Difference Tests; Goodness-of-Fit and Categorical Difference Tests; Goodness-of-Fit Tests; Contingency Analysis; Difference Test for Ordinal Categories; Inferential Spatial Statistics; Point Pattern Analysis; Area Pattern Analysis. Part 5 Statistical Relationships Between Variables: Correlation; The Nature of Correlation; Association of Interval Ratio Variables; Association of Ordinal Variables; Association of Nominal Variables; Use of Correlation Indices in Map Comparison; Issues Regarding Correlation; Regression; Bivariate Regression; Multivariate Regression; Appendix

Additional information

GOR002147863
An Introduction to Statistical Problem Solving in Geography by J.Chapman McGrew
J.Chapman McGrew
Used - Very Good
Hardback
McGraw-Hill Education - Europe
1993-02-28
432
069712682X
9780697126825
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us.