Exploratory Data Analysis in Business and Economic
General Material Designation
[Book]
Other Title Information
:An Introduction Using SPSS, Stata, and Excel
First Statement of Responsibility
/ electronic resource
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham
Name of Publisher, Distributor, etc.
: Springer International Publishing :Imprint: Springer,
Date of Publication, Distribution, etc.
, 2014.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
XXII, 215 s. 130 illus., 11 illus. in color. , online resource..
GENERAL NOTES
Text of Note
9783319015163.
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Print
CONTENTS NOTE
Text of Note
Summary: 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, @201CExploratory Data Analysis in Business and Economics@201D, 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 @201Cbestsellers@201D on the German market for literature in statistics.
Text of Note
Statistics and Empirical Research -- From Disarray to Dataset -- Univariate Data Analysis -- Bivariate Association.-aRegression Analysis -- Time Series and Indices -- Cluster Analysis -- Factor Analysis -- Solutions to Chapter Exercises -- References and Bibliography -- Index -- a a a a aa aa aa aa aa aa aa aa aa aa aa aa aa aa aa aa aa aa aa aa aa aa a a.
TOPICAL NAME USED AS SUBJECT
Statistics
Computer science
Economics, Statistics
Statistics
Statistics for Business/Economics/Mathematical Finance/Insurance
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law