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Titlebook: Excel 2019 for Marketing Statistics; A Guide to Solving P Thomas J. Quirk,Eric Rhiney Textbook 2021Latest edition The Editor(s) (if applica

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書目名稱Excel 2019 for Marketing Statistics
副標(biāo)題A Guide to Solving P
編輯Thomas J. Quirk,Eric Rhiney
視頻videohttp://file.papertrans.cn/319/318289/318289.mp4
概述Written in a step-by-step, instructional format, with accompanying Excel screenshots, enabling readers to solve statistics problems on their own.Contains forty (40) statistics problems (as well as ans
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2019 for Marketing Statistics; A Guide to Solving P Thomas J. Quirk,Eric Rhiney Textbook 2021Latest edition The Editor(s) (if applica
描述This book shows 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. .Excel 2019 for Marketing Statistics: A Guide to Solving Practical Problems. capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work..In this new edition, 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 f
出版日期Textbook 2021Latest edition
關(guān)鍵詞Applied Marketing Statistics; Marketing Statistics; Excel 2019 Marketing Statistics; Excel 2019; Excel M
版次2
doihttps://doi.org/10.1007/978-3-030-62781-2
isbn_softcover978-3-030-62780-5
isbn_ebook978-3-030-62781-2Series ISSN 2570-4605 Series E-ISSN 2570-4613
issn_series 2570-4605
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Confidence Interval About the Mean Using the TINV Function and Hypothesis-Testing,, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, and the answ
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One-Group t-Test for the Mean,nfidence interval about the mean (Chap. 3) and the one-group t-test is explained. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem is presented in the Practice Te
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Multiple Correlation and Multiple Regression,ite the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables are explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the correlation be
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Annette Scheunpflug,Christine Schmidt, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, and the answ
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