LEADER 05330nam 22005775 450 001 9910254088303321 005 20250327022422.0 010 $a9783319433769 010 $a3319433768 024 7 $a10.1007/978-3-319-43376-9 035 $a(CKB)3710000000872816 035 $a(DE-He213)978-3-319-43376-9 035 $a(MiAaPQ)EBC4701218 035 $a(PPN)19551257X 035 $a(EXLCZ)993710000000872816 100 $a20160929d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExcel 2016 for Marketing Statistics $eA Guide to Solving Practical Problems /$fby Thomas J. Quirk, Eric Rhiney 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource 225 1 $aExcel for Statistics,$x2570-4613 300 $aIncludes index. 311 08$a9783319433752 311 08$a331943375X 327 $aIntroduction -- Sample size, mean, standard deviation, standard error of the mean -- Random number generator -- Confidence interval about the mean using the TINV function and hypothesis testing -- One-group t-test for the mean -- Two-group t-test of the difference of the means for independent groups -- Correlation and simple linear regression -- Multiple correlation and multiple regression -- One-way analysis of variance (ANOVA) -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Index. 330 $aThis is the first book to show the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing problems. If understanding statistics isn?t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in marketing courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Marketing Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand marketing problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 167 illustrations in color Suitable for undergraduates or graduate students Prof. Tom Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service.  He is Professor of Marketing in the Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA).  He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an MBA from The University of Missouri-St. Louis. Prof. Eric Rhiney is currently an Assistant Professor of Marketing in The Walker School of Business at Webster University in St. Louis, Missouri (US) where he teaches Research Design, Marketing Research and Marketing Strategies.  He holds a B.S.B.A. with an Emphasis in Marketing from University of Central Missouri, an M.B.A. with an Emphasis in Marketing from Webster University, and a Ph.D. in Marketing and International Business from St. Louis University.  He did marketing research professionally for over ten years engaging in research for companies such as Pizza Hut, Monsanto, Chrysler and Hardee?s.  He is involved in a number of quantitative research studies focused on in-group out-group orientation on consumer attitudes, digital marketing behavior, and cross-cultural marketing and has presented is work at a number of conferences including The American Marketing Association, the International Business Association, and the Marketing Management Association and the University of Missouri-St. Louis (UMSL) Digital Marketing Conference. 410 0$aExcel for Statistics,$x2570-4613 606 $aStatistics 606 $aMarketing 606 $aSocial sciences$xData processing 606 $aStatistical Theory and Methods 606 $aMarketing 606 $aComputer Application in Social and Behavioral Sciences 615 0$aStatistics. 615 0$aMarketing. 615 0$aSocial sciences$xData processing. 615 14$aStatistical Theory and Methods. 615 24$aMarketing. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a519.5 700 $aQuirk$b Thomas J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721655 702 $aRhiney$b Eric$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910254088303321 996 $aExcel 2016 for Marketing Statistics$92044175 997 $aUNINA