Excel 2019 for Advertising Statistics

Prof. Thomas J. Quirk is currently a Professor Emeritus of Marketing in The Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he taught Marketing Statistics, Marketing Research, and Pricing Strategies. He has published 20+ articles in professional journals and presented 20+ papers at professional conferences. He holds a BS in Mathematics from John Carroll University, both an MA in Education and a PhD in Educational Psychology from Stanford University, and an MBA from the University of Missouri-St. Louis. Prof. Eric Rhiney is currently an Associate Professor of Marketing in The Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA) where he teaches Research Design, Marketing Research and Marketing Strategies. He holds a BSBA with an Emphasis in Marketing from the University of Central Missouri, an MBA with an Emphasis in Marketing from Webster University, and a PhD 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 he has presented his work at a number of conferences including the American Marketing Association, the International Business Association, and the Marketing Management Association and the UMSL Digital Marketing Conference.

Preface.- Acknowledgements.- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- 2Random Number Generator.- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.-  One-Group t-Test for the Mean.- 5 Two-Group t-Test of the Difference of the Means for Independent Groups.- 6 Correlation and Simple Linear Regression.- 7 Multiple Correlation and Multiple Regression.- 8 One-Way Analysis of Variance (ANOVA).- Appendix A:  Answers to End-of-Chapter Practice Problems.- Appendix B:  Practice Test.- Appendix C:  Answers to Practice Test.- Appendix D:  Statistical Formulas.- Appendix E:  t-table.- Index.