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Exploratory Data Analysis in Business and Economics

An Introduction Using SPSS, Stata, and Excel

  • Textbook
  • © 2014

Overview

Authors:
  1. Thomas Cleff

    1. Pforzheim University, Pforzheim, Germany

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  • An “easy to understand” textbook including numerical examples
  • Includes analytic procedures for assessing bivariate relationships
  • Provides readers with an understanding of the thinking processes underlying descriptive statistics
  • Addresses the use of computer programmes such as Excel, SPSS, and STATA Problems and solutions at the end of each chapter to pursue effective self-study
  • Includes supplementary material: sn.pub/extras

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xxii
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  2. Statistics and Empirical Research

    • Thomas Cleff
    Pages 1-12

  3. Disarray to Dataset

    • Thomas Cleff
    Pages 13-22

  4. Univariate Data Analysis

    • Thomas Cleff
    Pages 23-60

  5. Bivariate Association

    • Thomas Cleff
    Pages 61-113

  6. Regression Analysis

    • Thomas Cleff
    Pages 115-145

  7. Time Series and Indices

    • Thomas Cleff
    Pages 147-161

  8. Cluster Analysis

    • Thomas Cleff
    Pages 163-182

  9. Factor Analysis

    • Thomas Cleff
    Pages 183-195

  10. Solutions to Chapter Exercises

    • Thomas Cleff
    Pages 197-210

  11. Back Matter

    Pages 211-215
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Keywords

About this book

In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and business as well as practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. The textbook covers a range of subject matter, from data collection and scaling to the presentation and univariate analysis of quantitative data, and also includes analytic procedures for assessing bivariate relationships. It does not confine itself to presenting descriptive statistics, but also addresses the use of computer programmes such as Excel, SPSS, and STATA, thus treating all of the topics typically covered in a university course on descriptive statistics. The German edition of this textbook is one of the “bestsellers” on the German market for literature in statistics.

Authors and Affiliations

  • Pforzheim University, Pforzheim, Germany

    Thomas Cleff

About the author

Thomas Cleff is a Professor of Quantitative Methods for Business & Economics at Pforzheim University and a research associate at the Mannheim Centre for European Research (ZEW). He has served as a visiting professor at several renowned international universities - Ecole de Management ESCEM Tours-Poitiers; Simon Fraser University Vancouver; TEC de Monterrey, and Universitas Gadjah Mada Yogyakarta.

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