This book shows the capabilities of Microsoft Excel in teaching
environmental science statistics effectively. Similar to the previously
published Excel 2016 for Environmental Sciences Statistics, this
book is a step-by-step, exercise-driven guide for students and
practitioners who need to master Excel to solve practical environmental
science problems. If understanding statistics isn’t the reader’s
strongest suit, the reader is not mathematically inclined, or if the
reader is new to computers or to Excel, this is the book to start off
with.
Excel, a widely available computer program for students and
managers, is also an effective teaching and learning tool for
quantitative analyses in environmental science courses. Its powerful
computational ability and graphical functions make learning statistics
much easier than in years past. Excel 2019 for Environmental Sciences 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 environmental
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.
By:
Thomas J. Quirk,
Meghan H. Quirk,
Howard F. Horton
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 2nd ed. 2021
Dimensions:
Height: 235mm,
Width: 155mm,
Weight: 454g
ISBN: 9783030662769
ISBN 10: 3030662764
Series: Excel for Statistics
Pages: 250
Publication Date: 10 April 2021
Audience:
Professional and scholarly
,
Undergraduate
Format: Paperback
Publisher's Status: Active
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.
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 over 60 textbook supplements in Marketing and Management, published over 20 articles in professional journals, and presented over 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 agroecology in Southern Belize. She has coauthored 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 M.S. in Biological Sciences from the University of Northern Colorado (UNC) and a B.S. 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 coauthored articles in The International Journal of Speleology andThe 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).