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000808271 020__ $$a9783319721040$$q(electronic book)
000808271 020__ $$a3319721046$$q(electronic book)
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000808271 0247_ $$a10.1007/978-3-319-72104-0$$2doi
000808271 035__ $$aSP(OCoLC)on1019427429
000808271 035__ $$aSP(OCoLC)1019427429
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000808271 08204 $$a659.1072/7$$223
000808271 1001_ $$aQuirk, Thomas J.,$$eauthor.
000808271 24510 $$aExcel 2016 for advertising statistics :$$ba guide to solving practical problems /$$cThomas J. Quirk, Eric Rhiney.
000808271 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000808271 300__ $$a1 online resource (xv, 249 pages) :$$bcolor illustrations
000808271 336__ $$atext$$btxt$$2rdacontent
000808271 337__ $$acomputer$$bc$$2rdamedia
000808271 338__ $$aonline resource$$bcr$$2rdacarrier
000808271 4901_ $$aExcel for Statistics
000808271 504__ $$aIncludes bibliographical references and index.
000808271 506__ $$aAccess limited to authorized users.
000808271 520__ $$aThis text is a step-by-step guide for students taking a first course in statistics for advertising and for advertising managers and practitioners who want to learn how to use Excel to solve practical statistics problems in in the workplace, whether or not they have taken a course in statistics. Excel 2016 for Advertising Statistics explains statistical formulas and offers practical examples for how students can solve real-world advertising statistics problems. This book leaves detailed explanations of statistical theory to other statistics textbooks and focuses entirely on practical, real-world problem solving. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific advertising statistics problems.  This book gives practice in using Excel in two different ways:  (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA).  Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix.  An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific practical advertising statistics problem using Excel; the solution to each of these problems is also given in an Appendix. Includes 167 illustrations in color Suitable for undergraduates or graduate students Thomas J. Quirk is Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He has published over 20 articles in professional journals, and presented more than 20 papers at professional conferences. Eric Rhiney is Associate Professor of Marketing at the George Herbert Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA) where he teaches Research Design, Marketing Research and Marketing Strategies.  He is involved in several 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 numerous professional conferences.  .--$$cProvided by publisher.
000808271 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 12, 2018).
000808271 63000 $$aMicrosoft Excel (Computer file)
000808271 650_0 $$aAdvertising$$xStatistical methods.
000808271 7001_ $$aRhiney, Eric,$$eauthor.
000808271 830_0 $$aExcel for statistics.
000808271 852__ $$bebk
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