Applied Statistics and Multivariate Data Analysis for Business and Economics

A Modern Approach Using SPSS, Stata, and Excel

  • Thomas Cleff

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Thomas Cleff
    Pages 1-14
  3. Thomas Cleff
    Pages 15-25
  4. Thomas Cleff
    Pages 27-70
  5. Thomas Cleff
    Pages 71-129
  6. Thomas Cleff
    Pages 131-137
  7. Thomas Cleff
    Pages 139-169
  8. Thomas Cleff
    Pages 223-256
  9. Thomas Cleff
    Pages 257-351
  10. Thomas Cleff
    Pages 353-387
  11. Thomas Cleff
    Pages 389-405
  12. Thomas Cleff
    Pages 407-431
  13. Thomas Cleff
    Pages 433-446
  14. Back Matter
    Pages 447-474

About this book


This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.


Applied statistics Multivariate data analysis Business statistics SPSS Stata Excel Statistics in economics Data analysis Data collection

Authors and affiliations

  • Thomas Cleff
    • 1
  1. 1.Pforzheim Business SchoolPforzheim University of Applied SciencesPforzheimGermany

Bibliographic information