This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published __Excel 2013 for Social Sciences Statistics__, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science 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 social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Social Science Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.
Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science 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.
* Includes 167 illustrations in color
* Suitable for upper undergraduates or graduate students
At the beginning of his academic career, Prof. Tom J. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College, and is currently a 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 written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis.

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Quirk, Thomas J.

Springer Nature Switzerland AG

Springer London, Limited

Springer Nature (Textbooks & Major Reference Works), Cham, 2016

Place of publication not identified, 2016

Excel for statistics, Switzerland, 2016

Excel for statistics, Cham, 2016

Switzerland, Switzerland

1st ed. 2016, 2016

Aug 11, 2016

3, 20160810

sm59855113

{"edition":"1","isbns":["3319397109","3319397117","9783319397108","9783319397115"],"publisher":"Springer","series":"Excel for Statistics"}

Source title: Excel 2016 for Social Science Statistics: A Guide to Solving Practical Problems (Excel for Statistics)

This Book Shows The Capabilities Of Microsoft Excel In Teaching Social Science Statistics Effectively. Similar To The Previously Published Excel 2013 For Social Sciences Statistics, This Book Is A Step-by-step Exercise-driven Guide For Students And Practitioners Who Need To Master Excel To Solve Practical Social Science 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 Social Science Courses. Its Powerful Computational Ability And Graphical Functions Make Learning Statistics Much Easier Than In Years Past.^ However, Excel 2016 For Social Science Statistics: A Guide To Solving Practical Problems Is The First Book To Capitalize On These Improvements By Teaching Students And Managers How To Apply Excel To Statistical Techniques Necessary In Their Courses And Work. Each Chapter Explains Statistical Formulas And Directs The Reader To Use Excel Commands To Solve Specific, Easy-to-understand Social Science 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. Includes 167 Illustrations In Color Suitable For Upper Undergraduates Or Graduate Students At The Beginning Of His Academic Career, Prof. Tom J. Quirk Spent Six Years In Educational Research At The American Institutes For Research And Educational Testing Service.^ He Then Taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, And Accounting At Principia College, And Is Currently A 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 Written 60+ Textbook Supplements In Marketing And Management, Published 20+ Articles In Professional Journals, And Presented 20+ Papers At Professional Meetings. He Holds A B.s. In Mathematics From John Carroll University, Both An M.a. In Education And A Ph.d. In Educational Psychology From Stanford University, And An M.b.a. From The University Of Missouri-st. Louis. Introduction -- Sample Size, Mean, Standard Deviation, Standard Error Of The Mean -- Random Number Generator -- Confidence Interval About The Mean Using The Tinv Function And Hypothesis Testing -- One-group T-test For The Mean -- Two-group T-test Of The Difference Of The Means For Independent Groups -- Correlation And Simple Linear Regression -- Multiple Correlation And Multiple Regression -- One-way Analysis Of Variance (anova) -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Index. By Thomas J. Quirk.

This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published Excel 2013 for Social Sciences Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science 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 social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science 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. Includes 167 illustrations in color Suitable for upper undergraduates or graduate students At the beginning of his academic career, Prof. Tom J. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College, and is currently a 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 written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph. D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis

Front Matter....Pages i-xv
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-22
Random Number Generator....Pages 23-37
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 39-67
One-Group t-Test for the Mean....Pages 69-84
Two-Group t-Test of the Difference of the Means for Independent Groups....Pages 85-115
Correlation and Simple Linear Regression....Pages 117-160
Multiple Correlation and Multiple Regression....Pages 161-177
One-Way Analysis of Variance (ANOVA)....Pages 179-198
Back Matter....Pages 199-260

2016-11-20