Exploratory Data Analysis in Business and Economics: An Introduction Using SPSS, Stata, and Excel
Thomas Cleff (auth.)

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, “Descriptive Statistics and Modern Data Analysis”, 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.


Table of contents :
Front Matter....Pages i-xxii
Statistics and Empirical Research....Pages 1-12
Disarray to Dataset....Pages 13-22
Univariate Data Analysis....Pages 23-60
Bivariate Association....Pages 61-113
Regression Analysis....Pages 115-145
Time Series and Indices....Pages 147-161
Cluster Analysis....Pages 163-182
Factor Analysis....Pages 183-195
Solutions to Chapter Exercises....Pages 197-210
Back Matter....Pages 211-215