Excel 2019 for Biological and Life Sciences Statistics

A Guide to Solving Practical Problems

Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (Autoren)

Buch | Softcover

XIX, 244 Seiten

2020 | 2nd ed. 2020
Springer International Publishing (Verlag)
978-3-030-39280-2 (ISBN)

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Newly revised to specifically address Microsoft Excel 2019, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. Excel is an effective learning tool for quantitative analyses in biological and life sciences courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Biological and Life Sciences Statistics capitalizes on these improvements by teaching students and professionals how to apply Excel 2019 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 biological and life 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. This new edition offers a wealth of new practice problems and solutions, as well as updated chapter content throughout.

At the beginning of his academic career, Thomas J. Quirk spent six years performing educational research at The American Institutes for Research and Educational Testing Service. He is currently a Professor Emeritus of Marketing in The Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he taught 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 BS in Mathematics from John Carroll University, both an MA in Education and a PhD in Educational Psychology from Stanford University, and an MBA from The University of Missouri-St. Louis. Meghan H. Quirk holds both a PhD in Biological Education and an MA in Biological Sciences from the University of Northern Colorado and a BA in Biology and Religion from Principia College in Elsah, Illinois. She has conducted research on foodweb dynamics at Wind Cave National Park in South Dakota and in agro-ecology in Southern Belize. She has co-authored an article on shortgrass steppe ecosystems for Photochemistry & Photobiology and has presented papers at the Shortgrass Steppe Symposium in Fort Collins, Colorado, and at the Long-term Ecological Research All Scientists Meeting in Estes Park, Colorado, and participated in the NSF Site Review of the Shortgrass Steppe Long Term Ecological Research in Nunn, Colorado. Dr. Quirk is a National Science Foundation Fellow GK-12, and she is currently a public school administrator in Parker, Colorado. Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado 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 is a National Science Foundation Fellow GK-12, and is currently the Angler Outreach Coordinator with the Colorado Division of Parks and Wildlife.

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 .- 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.

Erscheinungsdatum	18.03.2020
Reihe/Serie	Excel for Statistics
Zusatzinfo	XIX, 244 p. 165 illus., 162 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	409 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Medizin / Pharmazie
Schlagworte	Applied Biological Statistics • Applied Life Sciences Statistics • Applied Statistics • Biological Statistics • Biological Statistics Analysis • Biological Statistics in Practice • Biological Statistics with Excel 2019 • Excel 2019 • Excel 2019 Analysis • Excel Guide • Excel Statistics • Life Sciences Statistics Analysis • Life Sciences Statistics in Practice • Life Sciences Statistics with Excel 2019
ISBN-10	3-030-39280-5 / 3030392805
ISBN-13	978-3-030-39280-2 / 9783030392802
Zustand	Neuware