This book explains how the statistics that we see every day, e.g. hospital waiting lists, unemployment, opinion polls, customer surveys etc., are collected and what they really show us. The editors discuss how statistics about society are created, understood, misunderstood and manipulated and how a more informed use of official statistics can present a very different picture of society. The book is based around a series of short articles and shows how 'better' statistics can be constructed and how they can best be presented. It acts as an aid to the critical appraisal of how current data is collected and analysed, and suggests ways of cross-checking for accuracy.
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Daniel Dorling is a Lecturer in Human Geography, School of Geographical Sciences at Bristol University. Stephen Simpson is at Manchester University.
"The book grew out of activities supported by what is known as the Radical Statistics group, . . . 'a group of statisticians and others who share a common concern about the political assumptions implicit in the process of compiling and using statistics, and an awareness of the actual and
potential misuses of statistics and its techniques.' This means there is special slant to the chapters, and this is what makes the book of great interest . . . Most of us like to think that the mathematical theory of statistics is politically neutral, and that misuses of statistics come down to
simple questions such as computing percentages correctly . . . This book will change our views . . . In summary, the book encourages us to see the role of statistics in a wider perspective, recognizing that statistics exists within a social framework, and the more we become aware of that, the better
and more useful our field will be."--Mathematical Association of America Online
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