Excel 2019 for Biological and Life Sciences Statistics

A Guide to Solving Practical Problems
2. Auflage 2020
ISBN: 978-3-030-39280-2
Verlag: Springer International Publishing

Buch, Englisch, 244 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 461 g

Reihe: Excel for Statistics

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.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Quirk, Thomas J.

Horton, Howard F.

Quirk, Meghan H.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik

Inhaltsverzeichnis

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.

Über Autor(innen)

Prof. Thomas J. Quirk is Professor Emeritus of Marketing at The Walker School of Business and Technology at Webster University in St. Louis, Missouri (US) where he taught Marketing Statistics, Marketing Research, and Pricing Strategies. At the beginning of his academic career, Prof. Quirk spent 6 years in educational research at The American Institutes for Research and Educational Testing Service. Prof. Quirk has published more than 20 articles in professional journals including The Journal of Educational Psychology, Journal of Educational Research, Review of Educational Research, Journal of Educational Measurement, and Educational Technology, published more than 60 textbook supplements in Management and Marketing, and presented more than 20 papers at professional meetings, including annual meetings of the American Educational Research Association, the American Psychological Association, and the National Council on Measurement in Education. Prof. Quirk 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.

Dr. Meghan H. Quirk holds both a PhD in Biological Education and an MA in Biological Sciences from the University of Northern Colorado (UNC), and a BA in Biology and Religion at Principia College in Elsah, Illinois. She has done research on food web 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 and Photobiology and has presented papers at the Shortgrass Steppe Symposium inFort Collins, Colorado, 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. She is a National Science Foundation Fellow GK-12 and currently is a public school administrator in Parker, 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 ToolikLake, 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.