LEADER 03734nam 22006015 450 001 9910438157103321 005 20200702165303.0 010 $a81-322-0786-6 024 7 $a10.1007/978-81-322-0786-3 035 $a(CKB)2670000000317958 035 $a(EBL)1083432 035 $a(OCoLC)822565869 035 $a(SSID)ssj0000878710 035 $a(PQKBManifestationID)11957874 035 $a(PQKBTitleCode)TC0000878710 035 $a(PQKBWorkID)10837325 035 $a(PQKB)10320546 035 $a(DE-He213)978-81-322-0786-3 035 $a(MiAaPQ)EBC1083432 035 $a(MiAaPQ)EBC6311668 035 $a(PPN)168332981 035 $a(EXLCZ)992670000000317958 100 $a20121213d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData Analysis in Management with SPSS Software$b[electronic resource] /$fby J.P. Verma 205 $a1st ed. 2013. 210 1$aNew Delhi :$cSpringer India :$cImprint: Springer,$d2013. 215 $a1 online resource (498 p.) 300 $aDescription based upon print version of record. 311 $a81-322-1710-1 311 $a81-322-0785-8 320 $aIncludes bibliographical references and index. 327 $aChapter 1: Data Management -- Chapter 2: Descriptive Analysis -- Chapter 3: Chi-Square test and its Application -- Chapter 4: Correlation Matrix and Partial Correlation - Explaining Relationships -- Chapter 5: Regression Analysis and Multiple Correlations -  For Estimating a Measurable Phenomenon -- Chapter 6: Hypothesis testing for decision making -- Chapter 7: One Way ANOVA - For testing the variability among group Means -- Chapter 8: Two Way Analysis of Variance ? For Understanding the Causes of Variations -- Chapter 9:  Analysis of Covariance- To study the role of covariate in Experimental Research -- Chapter 10: Cluster Analysis- For segmenting the population -- Chapter 11: Application of Factor Analysis ? To study the Factor Structure among Variables -- Chapter 12: Application of Discriminant Analysis ? For developing a classification model -- Chapter 13: Logistic Regression ? Developing a model for Risk Analysis -- Chapter 14: Multidimensional Scaling for product positioning. 330 $aThis book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future.  The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS. 606 $aStatistics  606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 615 0$aStatistics . 615 14$aStatistics for Social Sciences, Humanities, Law. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 676 $a005.55 700 $aVerma$b J.P$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058573 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438157103321 996 $aData Analysis in Management with SPSS Software$92502992 997 $aUNINA