# Excel 2013 for Physical Sciences Statistics

## A Guide to Solving Practical Problems

Textbook

Part of the Excel for Statistics book series (EXCELSTAT)

1. Front Matter
Pages i-xviii
2. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 1-20
3. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 21-34
4. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 35-62
5. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 63-76
6. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 77-102
7. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 103-147
8. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 149-165
9. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 167-183
10. Back Matter
Pages 185-242

### Introduction

This book shows the capabilities of Microsoft Excel in teaching physical sciences statistics effectively. Similar to the previously published Excel 2010 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 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 science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Physical Sciences 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 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 163 color screen shots so you can be sure you are performing Excel steps correctly

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.

Dr. Meghan H. Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado.

Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long Term Ecological Research at Toolik Lake, Alaska, and Wind Cave, South Dakota. He has co-authored articles in Th e International Journal of Speleology and Th e Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator for Colorado Parks and Wildlife (USA).

### Keywords

Excel 2013 Excel for Physical Science Excel Guide Statistics for Physical Science Applied Physical Science Statistics Excel Statistics Practical Physical Science Statistics Natural Sciences Statistics

#### Authors and affiliations

1. 1.Webster UniversitySt. LouisUSA
2. 2.BaileyUSA
3. 3.BaileyUSA

#### About the authors

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.

Dr. Meghan H. Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado.

Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long Term Ecological Research at Toolik Lake, Alaska, and Wind Cave, South Dakota. He has co-authored articles in The International Journal of Speleology and The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator for Colorado Parks and Wildlife (USA).

### Bibliographic information

• Book Title Excel 2013 for Physical Sciences Statistics
• Book Subtitle A Guide to Solving Practical Problems
• Authors Thomas J. Quirk
Meghan H. Quirk
Howard F. Horton
• Series Title Excel for Statistics
• Series Abbreviated Title Excel Statist.
• DOI https://doi.org/10.1007/978-3-319-28964-9
• Copyright Information Springer International Publishing Switzerland 2016
• Publisher Name Springer, Cham
• eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
• Softcover ISBN 978-3-319-28963-2
• eBook ISBN 978-3-319-28964-9
• Edition Number 1
• Number of Pages XVIII, 242
• Number of Illustrations 161 b/w illustrations, 1 illustrations in colour
• Topics
• Buy this book on publisher's site

## Reviews

“This book is a well-written short book on the subject of statistical features of Excel 2013 with many examples and exercises related to the target audience. It is a great reference for those who need to use Excel for some introductory statistical concepts or as a supplement in an introductory course in statistics for nonmajors.” (Morteza Marzjarani, Technometrics, Vol. 59 (2), April, 2017)

“Excel 2013 for physical sciences statistics is an interesting and valuable little book. … It would also be valuable to a manager who has not done any statistical work in some time and needs a review before dealing with subordinates who are using statistics to justify their work or recommend decisions. Although the title says it is for physical sciences, it is equally applicable to other areas where statistics are used.” (Michael Moorman, Computing Reviews, computingreviews.com, August, 2016)