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Excel 2019 for Marketing Statistics: A Guide to Solving Practical Problems /
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Excel 2019 for Marketing Statistics ([EBook] :) : A Guide to Solving Practical Problems / / by Thomas J. Quirk, Eric Rhiney.
Author
Quirk, Thomas J.
Added Personal Name
Rhiney, Eric
Other name(s)
SpringerLink (Online service)
Edition statement
2nd ed. 2021.
Publication
Cham : : Springer International Publishing : : Imprint: Springer, , 2021.
Physical Details
XIX, 238 p. 171 illus., 167 illus. in color. : online resource.
Series
Excel for Statistics
2570-4613
ISBN
9783030627812
Summary Note
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 full practice test (with answers in an appendix) that allows readers to test what they have learned.:
Contents note
Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 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.
Mode of acces to digital resource
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-3-030-62781-2
Links to Related Works
Subject References:
Computer Application in Social and Behavioral Sciences
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Marketing
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Social sciences—Data processing
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Statistical Theory and Methods
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Statistics
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Authors:
author
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Quirk, Thomas J.
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Rhiney, Eric
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Corporate Authors:
SpringerLink (Online service)
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Series:
Excel for Statistics
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Classification:
519.5
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