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Excel 2019 for Marketing Statistics

Release on 2021-02-232021-02-23 by Thomas J. Quirk
Excel 2019 for Marketing Statistics

Author: Thomas J. Quirk

Publisher: Springer Nature

ISBN: 9783030627812

Category: Mathematics

Page: 238

View: 515

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.
Mathematics
Excel 2019 for Marketing Statistics
Language: en
Pages: 238

Excel 2019 for Marketing Statistics

Authors: Thomas J. Quirk, Eric Rhiney
Categories: Mathematics
Type: BOOK - Published: 2021-02-23 - Publisher: Springer Nature

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
Excel 2019 for Advertising Statistics
Language: en
Pages: 254

Excel 2019 for Advertising Statistics

Authors: Thomas J. Quirk, Eric Rhiney
Categories: Business & Economics
Type: BOOK - Published: 2020-03-02 - Publisher: Springer Nature

Newly revised for Excel 2019, 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 the workplace, whether or not they have taken a
Excel 2019 for Engineering Statistics
Language: en
Pages: 250

Excel 2019 for Engineering Statistics

Authors: Thomas J. Quirk
Categories: Mathematics
Type: BOOK - Published: 2020-04-09 - Publisher: Springer Nature

Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2016 for Engineering Statistics, this volume is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering
Excel 2019 for Social Work Statistics
Language: en
Pages: 262

Excel 2019 for Social Work Statistics

Authors: Thomas J. Quirk, Simone M. Cummings
Categories: Social Science
Type: BOOK - Published: 2021-04-01 - Publisher: Springer Nature

This text is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical social work 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,
Excel 2019 for Physical Sciences Statistics
Language: en
Pages: 242

Excel 2019 for Physical Sciences Statistics

Authors: Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Categories: Mathematics
Type: BOOK - Published: 2021-03-08 - Publisher: Springer Nature

This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2016 for Physical Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics

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