This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Through real-world business examples, it illustrates the practical use of univariate, bivariate, and multivariate statistical methods.
The content spans a broad range of topics, from data collection and scaling to the presentation and fundamental univariate analysis of quantitative data, while also demonstrating advanced analytical techniques for exploring multivariate relationships. The book systematically covers all topics typically included in university-level courses on statistics and advanced applied data analysis. Beyond theoretical discussion, it offers hands-on guidance for using statistical software tools such as Excel, SPSS, Stata, and R.
In this completely revised and updated second edition, new sections on logistic regression are included, along with enhanced examples and solutions using R for all covered statistical methods. This edition provides a robust resource for mastering applied statistics in both academic and professional settings.
| ISBN: | 9783031780691 |
| Publication date: | 6th March 2025 |
| Author: | Thomas Cleff |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 555 pages |
| Series: | Springer Texts in Business and Economics |
| Genres: |
Econometrics and economic statistics Social research and statistics Probability and statistics Mathematical and statistical software Databases Economics, Finance, Business and Management |
This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Through real-world business examples, it illustrates the practical use of univariate, bivariate, and multivariate statistical methods.
The content spans a broad range of topics, from data collection and scaling to the presentation and fundamental univariate analysis of quantitative data, while also demonstrating advanced analytical techniques for exploring multivariate relationships. The book systematically covers all topics typically included in university-level courses on statistics and advanced applied data analysis. Beyond theoretical discussion, it offers hands-on guidance for using statistical software tools such as Excel, SPSS, Stata, and R.
In this completely revised and updated second edition, new sections on logistic regression are included, along with enhanced examples and solutions using R for all covered statistical methods. This edition provides a robust resource for mastering applied statistics in both academic and professional settings.
Applied Statistics and Multivariate Data Analysis for Business and Economics features in the following genres: Econometrics and economic statistics, Social research and statistics, Probability and statistics, Mathematical and statistical software, Databases, Economics, Finance, Business and Management
Applied Statistics and Multivariate Data Analysis for Business and Economics is available in Hardback, Paperback
Applied Statistics and Multivariate Data Analysis for Business and Economics was written by Thomas Cleff and published by Springer an imprint of Springer Nature Switzerland
Applied Statistics and Multivariate Data Analysis for Business and Economics has 555 pages
Yes it is part of Springer Texts in Business and Economics series
£98.99