MTU Cork Library Catalogue

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Exploring data : an introduction to data analysis for social scientists / Catherine Marsh.

By: Marsh, Catherine.
Material type: materialTypeLabelBookPublisher: Cambridge : Oxford ; New York, USA : Polity Press ; B. Blackwell, 1988 (1995)Description: xx, 385 p. ; 25 cm. + pbk.ISBN: 0745601723 (pbk); 0745601715 (hbk).Subject(s): Social sciences -- Statistical methodsDDC classification: 300.15195
Contents:
Part I: Single Variables -- Distributions and variables -- Numerical summaries of level and spread -- Scaling and standardiizing -- Price indices -- Inequality -- Part II: Relationships between two variables -- Handling several batches -- Percentage tables -- Analysing contingency tables -- Smoothing time series -- Scatterplots and resistant lines -- Transformations -- Part III: Introducing a third variable -- Causal explanations -- Three-variable contingency tables -- Standardization -- Median Polishing.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 300.15195 (Browse shelf(Opens below)) 1 Available 00015487
General Lending MTU Bishopstown Library Lending 300.15195 (Browse shelf(Opens below)) 1 Available 00015488
Total holds: 0

Enhanced descriptions from Syndetics:

This book develops a novel approach to data analysis, while at the same time providing a basic text accessible to students with no prior knowledge of the subject. The techniques upon which the book is based are not the traditional ones, but are founded upon modes of data analysis which have recently profoundly changed statistical practice among professionals. Exploratory data analysis is a fundamental statistical development, which this book introduces to a general audience.

Includes bibliographical references (pages 370-377) and index.

Part I: Single Variables -- Distributions and variables -- Numerical summaries of level and spread -- Scaling and standardiizing -- Price indices -- Inequality -- Part II: Relationships between two variables -- Handling several batches -- Percentage tables -- Analysing contingency tables -- Smoothing time series -- Scatterplots and resistant lines -- Transformations -- Part III: Introducing a third variable -- Causal explanations -- Three-variable contingency tables -- Standardization -- Median Polishing.

Table of contents provided by Syndetics

  • Foreword
  • Acknowledgements
  • Introduction
  • Part I Single Variables
  • 1 Distributions and Variables
  • 2 Numerical Summaries of Level and Spread
  • 3 Scaling and Standardizing
  • 4 Price Indices
  • 5 Inequality
  • Part II Relationships Between Two Variables
  • 6 Handling Several Batches
  • 7 Percentage Tables
  • 8 Analyzing Contingency Tables
  • 9 Smoothing Time Series
  • 10 Scatterplots and Resistant Lines
  • 11 Transformations
  • Part III Introducing a Third Variable
  • 12 Causal Explanations
  • 13 Three Variable Contingency Tables
  • 14 Standardization
  • 15 Median Polishing
  • 16 The Datasets

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