Authors:
- Presents practical examples of problems, taken from several areas in physical sciences
- Addresses both how to write statistical formulas and how to use drop-down menus to create formulas in Excel
- Includes 163 color screen shots to show the reader how to perform Excel steps correctly
- Includes supplementary material: sn.pub/extras
Part of the book series: Excel for Statistics (EXCELSTAT)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
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.
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)
Authors and Affiliations
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Webster University, St. Louis, USA
Thomas J. Quirk
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Bailey, USA
Meghan H. Quirk, Howard F. Horton
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
DOI: https://doi.org/10.1007/978-3-319-28964-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2016
Softcover ISBN: 978-3-319-28963-2Published: 18 March 2016
eBook ISBN: 978-3-319-28964-9Published: 09 March 2016
Series ISSN: 2570-4605
Series E-ISSN: 2570-4613
Edition Number: 1
Number of Pages: XVIII, 242
Number of Illustrations: 161 b/w illustrations, 1 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Mathematical Applications in the Physical Sciences, Computer Appl. in Social and Behavioral Sciences