Excel 2016 for Advertising Statistics
A Guide to Solving Practical Problems
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Beschreibung
This 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 colorSuitable for undergraduates or graduate studentsThomas 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.
This 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
Presents key steps and examples to solve practical, easy-to-understand advertising problems using Excel 2016
Contains 167 illustrations in color
Suitable for undergraduate and graduate students
No background in statistics is required
Guides students through not only statistical formulas but also the processes and reasoning that support statistical theory
Focuses exclusively on building a critical foundation for students and practitioners
Explains statistical theory and formulas in clear language without bogging the reader down in mathematical fine points
Features five appendices with tests, answers and statistical formulas
Includes specific objectives for concepts in each chapter, as well as practice problems with answers
Saves instructors valuable class time by allowing students to learn how to use Excel to solve practical advertising problems outside of class timeAutor*in
Thomas J. Quirk
Themen in »Excel 2016 for Advertising Statistics«
Analysis of Variance (ANOVA) Confidence Interval Excel 2016 Linear Regression Random Number Generator Sample Size Standard Deviation Standard Error of the Mean TINV Function t-Test for the Mean