LEADER 04622nam 22006735 450 001 9910150451103321 005 20250408162006.0 010 $a3-319-45528-1 024 7 $a10.1007/978-3-319-45528-0 035 $a(CKB)3710000000943184 035 $a(DE-He213)978-3-319-45528-0 035 $a(MiAaPQ)EBC4737136 035 $a(PPN)197139434 035 $a(EXLCZ)993710000000943184 100 $a20161108d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantitative Analysis and IBM® SPSS® Statistics $eA Guide for Business and Finance /$fby Abdulkader Aljandali 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XXI, 184 p. 143 illus., 119 illus. in color.) 225 1 $aStatistics and Econometrics for Finance,$x2199-0948 311 08$a3-319-45527-3 320 $aIncludes bibliographical references and index. 327 $a1 Getting Started with SPSS -- 2 Graphics and Introductory Statistical Analysis of Data -- 3 Frequencies and Crosstabulations -- 4 Coding, Missing Values, Conditional and Arithmetic Operations -- 5 Hypothesis Tests Concerning Means -- 6 Nonparametric Hypothesis Tests -- 7 Bivariate Correlation and Regression -- 8 Multivariate Regression -- 9 Logistic Regression. 330 $aThis guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, theBBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum. Abdulkader Aljandali, Ph.D., is a Senior Lecturer in Quantitative Finance and Business Forecasting at Regent?s University London. He acts as a visiting professor at overseas institutions in Canada, France, and Morocco. 410 0$aStatistics and Econometrics for Finance,$x2199-0948 606 $aStatistics 606 $aStatistics 606 $aQuantitative research 606 $aBusiness enterprises$xFinance 606 $aSocial sciences$xMathematics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistical Theory and Methods 606 $aData Analysis and Big Data 606 $aCorporate Finance 606 $aMathematics in Business, Economics and Finance 615 0$aStatistics. 615 0$aStatistics. 615 0$aQuantitative research. 615 0$aBusiness enterprises$xFinance. 615 0$aSocial sciences$xMathematics. 615 14$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistical Theory and Methods. 615 24$aData Analysis and Big Data. 615 24$aCorporate Finance. 615 24$aMathematics in Business, Economics and Finance. 676 $a658.401 700 $aAljandali$b Abdulkader$4aut$4http://id.loc.gov/vocabulary/relators/aut$0756048 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910150451103321 996 $aQuantitative analysis and IBM® SPSS® statistics$91523589 997 $aUNINA