Exploratory Data Analysis in Business and Economics

An Introduction Using SPSS, Stata, and Excel

  • Thomas Cleff

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Thomas Cleff
    Pages 1-12
  3. Thomas Cleff
    Pages 13-22
  4. Thomas Cleff
    Pages 23-60
  5. Thomas Cleff
    Pages 61-113
  6. Thomas Cleff
    Pages 115-145
  7. Thomas Cleff
    Pages 147-161
  8. Thomas Cleff
    Pages 163-182
  9. Thomas Cleff
    Pages 183-195
  10. Thomas Cleff
    Pages 197-210
  11. Back Matter
    Pages 211-215

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.


Bivariate Statistics Empirical Research Index Calculations Regression Analysis Univariate Statistics

Authors and affiliations

  • Thomas Cleff
    • 1
  1. 1.Pforzheim UniversityPforzheimGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-01517-0
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-01516-3
  • Online ISBN 978-3-319-01517-0
  • About this book