First published in 1978. For the non-mathematician, however, even the simpler introductory books on statistics often raise considerable problems. In this second edition First, some attention has been given to the problem of the transformation of data in order to reinforce the appreciation of the need for normally-distributed data for the use of so many techniques. Secondly, the use of probability paper, at least in simple terms, has been introduced to illustrate the ways in which the labour of probability assessments can be circumvented. Thirdly, radical changes have been made, plus considerable expansion added, to the theme of non-parametric testing, to provide a more systematic approach to what is a most important group of possible techniques for geographers. Fourthly, change and expansion are also reflected in the sections on correlation and regression, including some simple consideration of curvilinear relationships and the presentation of computational techniques more geared to the use of desk calculators rather than long-hand methods. Finally, the bibliography has also been expanded, to incorporate a wider range of books on techniques and a selection of research papers using such techniques in a geographical (or near-geographical) context.
Table of Contents
Chapter 1 Characteristics of data; Chapter 2 Taking a sample; Chapter 3 Measures of central tendency; Chapter 4 Deviation and variability; Chapter 5 The normal frequency distribution curve and its characteristics; Chapter 6 Probability assessments; Chapter 7 Sample characteristics and sampling error; Chapter 8 The comparison of sample values-I; Chapter 9 The comparison of sample values-II; Chapter 10 Methods of correlation; Chapter 11 Regression lines and confidence limits; Chapter 12 Fluctuations and trends; Chapter 13 The way ahead;
S Gregory Emeritus Professor of Geography, University of Sheffield