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eBook Data Analysis: An Introduction ePub

eBook Data Analysis: An Introduction ePub

by Bryan Nolan

  • ISBN: 074561146X
  • Category: Mathematics
  • Subcategory: Math Science
  • Author: Bryan Nolan
  • Language: English
  • Publisher: Polity Pr (June 1, 1994)
  • Pages: 240
  • ePub book: 1200 kb
  • Fb2 book: 1807 kb
  • Other: rtf lrf azw lrf
  • Rating: 4.7
  • Votes: 911

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Data Analysis: An Introduction. ISBN: 978-0-745-61145-7 June 1994 Polity 382 Pages. The first part of the book dealing with descriptive data analysis would stand on its own as an excellent teaching aid for use with MINITAB. Statistical techniques are introduced gradually and then the computer package - MINITAB - is introduced. The student therefore learns to understand the computer package which makes its use much more effective.

This is an introductory textbook in data analysis and statistics, designed for students in the first year of a social . The key concepts of data analysis are explained in a clear and straightforward manner, avoiding unnecessary jargon.

This is an introductory textbook in data analysis and statistics, designed for students in the first year of a social sciences degree. 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.

Technological University Dublin (TU Dublin) · Informatics

Technological University Dublin (TU Dublin) · Informatics. ISBN13:9780745611457. Release Date:June 1994.

Brian Nolan, Christopher T. Whelan. Contents Chapter 1: Introduction Chapter 2: The measurement of poverty in Ireland Chapter 3: The data Chapter 4: Income poverty Chapter 5: Risk and incidence of relative income poverty Chapte. More).

An Introduction to Secondary Data Analysis with IBM SPSS Statistics. He is a coauthor of the book Well-Being and Public Policy, which examines the role that well-being measures can play in informing public policy decisions. Hardcover: 245 pages.

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 clear, jargon-free textbook will be an invaluable aid for students beginning courses in the social sciences and related fields, such as social policy, business studies and health care.