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dc.contributor.authorCleff, Thomasen_US
dc.date.accessioned2016-07-06T01:18:00Z
dc.date.available2016-07-06T01:18:00Z
dc.date.issued2014en_US
dc.identifier.isbn978-3-319-01516-3en_US
dc.identifier.isbn978-3-319-01517-0en_US
dc.identifier.otherHPU2160158en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/22073
dc.description.abstractIn 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.en_US
dc.format.extent234 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringer International Publishingen_US
dc.subjectData analysisen_US
dc.subjectBusinessen_US
dc.subjectSPSSen_US
dc.subjectStataen_US
dc.subjectExcelen_US
dc.titleExploratory Data Analysis in Business and Economics: An Introduction Using SPSS, Stata, and Excelen_US
dc.typeBooken_US
dc.size10.0 MBen_US
dc.departmentEnglish resourcesen_US


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