000 03347nam a22004575i 4500
001 978-3-319-01517-0
003 DE-He213
005 20140220082508.0
007 cr nn 008mamaa
008 131112s2014 gw | s |||| 0|eng d
020 _a9783319015170
_9978-3-319-01517-0
024 7 _a10.1007/978-3-319-01517-0
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aK
_2bicssc
072 7 _aBUS061000
_2bisacsh
082 0 4 _a330.015195
_223
100 1 _aCleff, Thomas.
_eauthor.
245 1 0 _aExploratory Data Analysis in Business and Economics
_h[electronic resource] :
_bAn Introduction Using SPSS, Stata, and Excel /
_cby Thomas Cleff.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXXII, 215 p. 130 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aStatistics 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.                                                                              .
520 _aIn 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.
650 0 _aStatistics.
650 0 _aComputer science.
650 0 _aEconomics
_xStatistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650 2 4 _aProbability and Statistics in Computer Science.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319015163
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-01517-0
912 _aZDB-2-SMA
999 _c92677
_d92677