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＜電子ブック＞
Exploratory Data Analysis in Business and Economics : An Introduction Using SPSS, Stata, and Excel / by Thomas Cleff

版	1st ed. 2014.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2014
本文言語	英語
大きさ	XXII, 215 p. 130 illus., 11 illus. in color : online resource
著者標目	*Cleff, Thomas author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Social sciences -- Statistical methods  全ての件名で検索 LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Mathematical statistics FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Probability and Statistics in Computer Science
一般注記	Statistics and Empirical Research -- From Disarray to Dataset -- Univariate Data Analysis -- Bivariate Association.- Regression Analysis -- Time Series and Indices -- Cluster Analysis -- Factor Analysis -- Solutions to Chapter Exercises -- References and Bibliography -- Index.                                                                               In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and business as well as practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. The textbook covers a range of subject matter, from data collection and scaling to the presentation and univariate analysis of quantitative data, and also includes analytic procedures for assessing bivariate relationships. It does not confine itself to presenting descriptive statistics, but also addresses the use of computer programmes such as Excel, SPSS, and STATA, thus treating all of the topics typically covered in a university course on descriptive statistics. The German edition of this textbook is one of the “bestsellers” on the German market for literature in statistics HTTP:URL=https://doi.org/10.1007/978-3-319-01517-0

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