This is an introductory textbook in data analysis and statistics, designed for students in the first year of a social sciences degree. The key concepts of data analysis are explained in a clear and straightforward manner, avoiding unnecessary jargon. Very little mathematical knowledge is assumed on the part of the reader, and a variety of examples are used to illustrate the ideas and techniques. One of the central aims of the text is to ensure that students understand the basic principles of exploratory data analysis before they become involved in manipulating large quantities of data. Hence the author generally uses small data sets to introduce the key concepts, and gradually moves toward the handling of larger data sets. The text uses the Minitab computer analysis package, which is one of the most popular statistical packages available in institutions of higher and further education. Students are told how to use the package before they are introduced to the ideas of methods of data analysis. This textbook should be a useful aid for students beginning courses in the social sciences and related fields, such as social policy, business studies and health care.
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Bryan Nolan is Senior Lecturer at South Bank University and Tutor Counsellor for the Open University.
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Condición: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780745611464. Nº de ref. del artículo: 9432049
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Paperback. Condición: Very Good. Data Analysis: An Introduction This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Nº de ref. del artículo: 7719-9780745611464
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