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

Applied Statistics and Multivariate Data Analysis for Business and Economics

A Modern Approach Using SPSS, Stata, and Excel
 
Edition number: 1st ed. 2019
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
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Product details:

ISBN13:9783030177690
ISBN10:3030177696
Binding:Paperback
No. of pages:474 pages
Size:235x155 mm
Weight:759 g
Language:English
Illustrations: 159 Illustrations, black & white; 110 Illustrations, color
497
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Short description:

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.

Long description:
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.


?The book will be a very good textbook in applied statistics and multivariate data analysis for students in economics and business, and also for practitioners in firms that use those methods in their work.? (Anatoliy Swishchuk, zbMATH 1429.62002, 2020)
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.