LEADER 03841nam 22007215 450 001 9910349537003321 005 20251211132012.0 010 $a3-030-17767-X 024 7 $a10.1007/978-3-030-17767-6 035 $a(CKB)4100000008707551 035 $a(DE-He213)978-3-030-17767-6 035 $a(MiAaPQ)EBC5919347 035 $a(EXLCZ)994100000008707551 100 $a20190710d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied Statistics and Multivariate Data Analysis for Business and Economics $eA Modern Approach Using SPSS, Stata, and Excel /$fby Thomas Cleff 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXIII, 474 p. 269 illus., 110 illus. in color.) 311 08$a3-030-17766-1 327 $aStatistics and Empirical Research -- From Disarray to Dataset -- Univariate Data Analysis -- Bivariate Association -- Classical Measurement Theory.-Calculating Probability -- Random Variables and Probability Distributions -- Parameter Estimation -- Hypothesis Testing -- Regression Analysis -- Time Series and Indices -- Cluster Analysis -- Factor Analysis. 330 $aThis textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata. 606 $aEconometrics 606 $aQuantitative research 606 $aStatistics 606 $aSocial sciences$xStatistical methods 606 $aMathematical statistics$xData processing 606 $aEconometrics 606 $aData Analysis and Big Data 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aStatistics and Computing 606 $aEconometria$2thub 606 $aAnàlisi multivariable$2thub 606 $aEstadística econòmica$2thub 608 $aLlibres electrònics$2thub 615 0$aEconometrics. 615 0$aQuantitative research. 615 0$aStatistics. 615 0$aSocial sciences$xStatistical methods. 615 0$aMathematical statistics$xData processing. 615 14$aEconometrics. 615 24$aData Analysis and Big Data. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aStatistics and Computing. 615 7$aEconometria 615 7$aAnàlisi multivariable 615 7$aEstadística econòmica 676 $a519.535 676 $a519.535 700 $aCleff$b Thomas$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721665 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349537003321 996 $aApplied Statistics and Multivariate Data Analysis for Business and Economics$92100377 997 $aUNINA