Understanding Social Statistics 2/e

SAGE PUBLICATIONS INCISBN: 9781412910538

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Sale price$441.00
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By Jane L. Fielding, Nigel Gilbert
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SAGE PUBLICATIONS INC
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Format:
HARDBACK
Pages:
360

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Description

Jane Fielding gained her DPhil in Biochemistry in 1976 to be followed by postdoctoral fellowships at Queen Elizabeth College and Imperial College, University of London. She joined Surrey University in 1981 as a researcher on several part-time contracts in the departments of Sociology, Psychology and Human Biology. In 1984 she was appointed as the Departmental Research Fellow and has been involved with the teaching of computing and quantitative methods since that time. In 1994 she took up her current lectureship in quantitative methods and was promoted to Senior Lecturer in 2001. Nigel Gilbert read for a first degree in Engineering, intending to go into the computer industry. However, he was lured into sociology and obtained his doctorate on the sociology of scientific knowledge from the University of Cambridge, under the supervision of Michael Mulkay. His research and teaching interests have reflected his continuing interest in both sociology and computer science (and engineering more widely). His main research interests are processual theories of social phenomena, the development of computational sociology and the methodology of computer simulation, especially agent-based modelling. He is Director of the Centre for Research in Social Simulation. He is also Director of the University's Institute of Advanced Studies and responsible for its development as a leading centre for intellectual interchange. He is the author or editor of several textbooks on sociological methods of research and statistics and editor of the Journal of Artificial Societies and Social Simulation.

Numbers, Data and Analysis Using Computers in Statistics Univariate Statistics Graphics for Display Measures of Central Tendency and Dispersion Graphics for Analysis The Normal Curve Correlation and Regression Bivariate Analysis Categorical Data Tables Sampling and Inference Testing Hypotheses Modelling Data

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