Thomas Cleff

Exploratory Data Analysis in Business and Economics (eBook, PDF)

An Introduction Using SPSS, Stata, and Excel

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 215
• Erscheinungstermin: 12. November 2013
• Englisch
• ISBN-13: 9783319015170
• Artikelnr.: 43794461

Autorenporträt

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.

Inhaltsangabe

Statistics and Empirical Research.- From Disarray to Dataset.- Univariate Data Analysis.- Bivariate Association.- Regression Analysis.- Time Series and Indices.- Cluster Analysis.- Factor Analysis.- Solutions to Chapter Exercises.- References and Bibliography.- Index.