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Statistical methods for geography : a student's guide / Peter A. Rogerson.

By: Material type: TextTextPublication details: Los Angeles : Sage, 2015.Edition: 4th edDescription: xxi, 401 p. : ill. ; 24 cmISBN:
  • 9781446295731 :
Subject(s): DDC classification:
  • 910.015195 22
LOC classification:
  • G70.3 .R64 2010
Incomplete contents:
Introduction to Statistical Methods for Geography --- Descriptive Statistics --- Probability and Discrete Probability Distributions --- Continuous Probability Distributions and Probability Models --- Inferential Statistics: Confidence Intervals, Hypothesis Testing and Sampling --- Analysis of Variance --- Correlation --- Introduction to Regression Analysis --- More on Regression --- Spatial Patterns --- Data Reduction: Factor Analysis and Cluster Analysis ---- Epilogue. Appendix A. Statistical Tables --- B. Mathematical Conventions and Notation --- C. Review and Extension of Some Probability Theory.
Summary: Presents an introduction to the principal methods and techniques needed to understand a statistics module. This title features: further introductory material; exercises and illustrative examples; and, downloadable datasets.
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Includes bibliographical references and index.

Introduction to Statistical Methods for Geography --- Descriptive Statistics --- Probability and Discrete Probability Distributions --- Continuous Probability Distributions and Probability Models --- Inferential Statistics: Confidence Intervals, Hypothesis Testing and Sampling --- Analysis of Variance --- Correlation --- Introduction to Regression Analysis --- More on Regression --- Spatial Patterns --- Data Reduction: Factor Analysis and Cluster Analysis ---- Epilogue. Appendix A. Statistical Tables --- B. Mathematical Conventions and Notation --- C. Review and Extension of Some Probability Theory.

Presents an introduction to the principal methods and techniques needed to understand a statistics module. This title features: further introductory material; exercises and illustrative examples; and, downloadable datasets.

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