Exploratory Data Analysis In Business And Economics An Introduction Using Spss Stats And Excel - Info and Reading Options
By Thomas Cleff

"Exploratory Data Analysis In Business And Economics An Introduction Using Spss Stats And Excel" was published by Springer in 2013 and it has 215 pages.
“Exploratory Data Analysis In Business And Economics An Introduction Using Spss Stats And Excel” Metadata:
- Title: ➤ Exploratory Data Analysis In Business And Economics An Introduction Using Spss Stats And Excel
- Author: Thomas Cleff
- Number of Pages: 215
- Publisher: Springer
- Publish Date: 2013
“Exploratory Data Analysis In Business And Economics An Introduction Using Spss Stats And Excel” Subjects and Themes:
- Subjects: ➤ Database management - Business, statistical methods - Statistics - Computer science - Economics - Statistics for Business/Economics/Mathematical Finance/Insurance - Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law - Probability and Statistics in Computer Science
Edition Identifiers:
- The Open Library ID: OL26188390M - OL17585219W
- ISBN-13: 9783319015163
- All ISBNs: 9783319015163
AI-generated Review of “Exploratory Data Analysis In Business And Economics An Introduction Using Spss Stats And Excel”:
"Exploratory Data Analysis In Business And Economics An Introduction Using Spss Stats And Excel" Description:
The Open Library:
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, “Descriptive Statistics and Modern Data Analysis”, 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.
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