LEADER 04854nam 22006495 450 001 9910150451103321 005 20200702123530.0 010 $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 $aStatistics and Econometrics for Finance,$x2199-093X 311 $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 $aThis guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum. Abdulkader Aljandali, Ph.D., is a Senior Lecturer in Quantitative Finance and Business Forecasting at Regent?s University London. He acts as a visiting professor at overseas institutions in Canada, France, and Morocco. 410 0$aStatistics and Econometrics for Finance,$x2199-093X 606 $aStatistics  606 $aBig data 606 $aBusiness enterprises?Finance 606 $aEconomics, Mathematical  606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 606 $aBusiness Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/512000 606 $aQuantitative Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/M13062 615 0$aStatistics . 615 0$aBig data. 615 0$aBusiness enterprises?Finance. 615 0$aEconomics, Mathematical . 615 14$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aStatistical Theory and Methods. 615 24$aBig Data/Analytics. 615 24$aBusiness Finance. 615 24$aQuantitative 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