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Titlebook: Exploratory Data Analysis in Business and Economics; An Introduction Usin Thomas Cleff Textbook 2014 Springer International Publishing Swit

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書目名稱Exploratory Data Analysis in Business and Economics
副標(biāo)題An Introduction Usin
編輯Thomas Cleff
視頻videohttp://file.papertrans.cn/320/319444/319444.mp4
概述An “easy to understand” textbook including numerical examples.Includes analytic procedures for assessing bivariate relationships.Provides readers with an understanding of the thinking processes underl
圖書封面Titlebook: Exploratory Data Analysis in Business and Economics; An Introduction Usin Thomas Cleff Textbook 2014 Springer International Publishing Swit
描述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 t
出版日期Textbook 2014
關(guān)鍵詞Bivariate Statistics; Empirical Research; Index Calculations; Regression Analysis; Univariate Statistics
版次1
doihttps://doi.org/10.1007/978-3-319-01517-0
isbn_softcover978-3-319-01516-3
isbn_ebook978-3-319-01517-0
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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沙發(fā)
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Regression Analysis,.. But take heed: regression does not necessarily prove the causality of the association. The direction of effect must be derived theoretically before it can be empirically proven with regression. Sometimes the direction of causality cannot be determined, as for example between the ages of couples g
地板
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Textbook 2014hips. 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 t
6#
發(fā)表于 2025-3-22 15:06:49 | 只看該作者
Mithun Vinod Shah,Thomas P. Loughran Jr... But take heed: regression does not necessarily prove the causality of the association. The direction of effect must be derived theoretically before it can be empirically proven with regression. Sometimes the direction of causality cannot be determined, as for example between the ages of couples g
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Disarray to Dataset,ay – but few enter it into a central database for systematic evaluation. The first task of the statistician is to mine this valuable information. Often, this requires skills of persuasion: employees may be hesitant to give up data for the purpose of systematic analysis, for this may reveal past fail
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發(fā)表于 2025-3-23 03:00:12 | 只看該作者
Univariate Data Analysis,pondents and entered them into a computer. In the first step of data assessment, they investigate each variable – for example, average respondent age – separately. This is called .. By contrast, when researchers analyze the relationship between two variables – for example, between gender and choice
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