Simple Statistical Tests for Geography
eBook - PDF

Simple Statistical Tests for Geography

  1. 336 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Simple Statistical Tests for Geography

About this book

This book is aimed directly at students of geography, particularly those who lack confidence in manipulating numbers. The aim is not to teach the mathematics behind statistical tests, but to focus on the logic, so that students can choose the most appropriate tests, apply them in the most convenient way and make sense of the results. Introductory chapters explain how to use statistical methods and then the tests are arranged according to the type of data that they require. Diagrams are used to guide students toward the most appropriate tests. The focus is on nonparametric methods that make very few assumptions and are appropriate for the kinds of data that many students will collect. Parametric methods, including Student's t-tests, correlation and regression are also covered.

Although aimed directly at geography students at senior undergraduate and graduate level, this book provides an accessible introduction to a wide range of statistical methods and will be of value to students and researchers in allied disciplines including Earth and environmental science, and the social sciences.

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Yes, you can access Simple Statistical Tests for Geography by Danny McCarroll in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgements
  9. Author
  10. 1. Introduction
  11. 2. How to Use Statistics
  12. 3. Different Kinds of Data
  13. 4. Tools of the Trade
  14. 5. Single Sample Tests
  15. 6. Two-Sample Tests for Counts in Two Categories
  16. 7. Two-Sample Tests for Counts in Several Categories
  17. 8. Two-Sample Tests for Individual Measurements
  18. 9. Comparing More Than Two Samples
  19. 10. Correlation
  20. 11. Regression Analysis
  21. 12. Tables of Critical Values
  22. Index