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Applied statistics and multivariate data analysis for business and economics : a modern approach using SPSS, Stata, and Excel / Thomas Cleff.

By: Cleff, Thomas, 1966- [author].
Material type: Computer fileComputer filePublisher: Cham, Switzerland : Springer, [2019]Copyright date: ©2019Description: 1 electronic resource (xxiii, 474 pages) : illustrations.Content type: text Media type: computer Carrier type: otherISBN: 9783030177669 (hbk.); 3030177661 (hbk.); 9783030177676 (ebk.); 303017767X (ebk.).Subject(s): Multivariate analysisDDC classification: 519.535 Online resources: Additional online resources
Contents:
MACHINE-GENERATED CONTENTS NOTE: 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.
Summary: MACHINE-GENERATED SUMMARY NOTE: "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." -- Provided by publisher.
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Current location Collection Call number Status Date due Barcode
Klingemann Library
BUSINESS -- Business, management 519.535 C586 2019 e-res (Browse shelf) Available as electronic resource -- please ask your librarian 2019-2400

BIBLIOGRAPHY NOTE: includes bibliographical references and index.

MACHINE-GENERATED CONTENTS NOTE:
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.

MACHINE-GENERATED SUMMARY NOTE:
"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."
-- Provided by publisher.

CATALOGUING: copy descriptive cataloguing + additions/corrections + summary + contents, 2019-11-02.

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