Applied Statistics and Multivariate Data Analysis for Business and Economics A Modern Approach Using SPSS, Stata, and Excel /

• Main Author: Cleff, Thomas (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Econometrics.; Big data.; Statistics .; Big Data/Analytics.; Statistics for Business, Management, Economics, Finance, Insurance.; Statistics for Social Sciences, Humanities, Law.; Statistics and Computing/Statistics Programs.

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...

Table of Contents:

• Statistics and Empirical Research
• From Disarray to Dataset
• Univariate Data Analysis
• Bivariate Association
• Classical Measurement Theory.-Calculating Probability
• Random Variables and Probability Distributions
• Parameter Estimation
• Hypothesis Testing
• Regression Analysis
• Time Series and Indices
• Cluster Analysis
• Factor Analysis.