Description

The very word `statistics' is enough to induce panic or cynicism in most people's hearts. The necessity of studying statistics is often regarded by students as a test of endurance rather than an educational opportunity. Working With Statistics is aimed to show such an audience that studying statistics can be both involving and even pleasurable.

By minimising specialist terminology and by utilising an authentic set of research data, the book provides a readable introduction into the uses of quantitative methods in social research. It also provides an argument for the value of such methods and aims to provide students with a working knowledge of computing, relating this directly to the demands of statistical analysis.

The book offers a lucid and comprehensive guide to statistics methods, and is suitable as an overall text for courses in the subject.

Working with Statistics: An Introduction to Quantitative Methods for Social Scientists

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Paperback / softback by Stuart Reid

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Short Description:

The very word `statistics' is enough to induce panic or cynicism in most people's hearts. The necessity of studying statistics... Read more

    Publisher: John Wiley and Sons Ltd
    Publication Date: 15/09/1987
    ISBN13: 9780745600482, 978-0745600482
    ISBN10: 0745600484

    Number of Pages: 208

    Non Fiction , Politics, Philosophy & Society

    Description

    The very word `statistics' is enough to induce panic or cynicism in most people's hearts. The necessity of studying statistics is often regarded by students as a test of endurance rather than an educational opportunity. Working With Statistics is aimed to show such an audience that studying statistics can be both involving and even pleasurable.

    By minimising specialist terminology and by utilising an authentic set of research data, the book provides a readable introduction into the uses of quantitative methods in social research. It also provides an argument for the value of such methods and aims to provide students with a working knowledge of computing, relating this directly to the demands of statistical analysis.

    The book offers a lucid and comprehensive guide to statistics methods, and is suitable as an overall text for courses in the subject.

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