# Excel 2019 for Biological and Life Sciences Statistics

## A Guide to Solving Practical Problems

• Written in a step-by-step, instructional format, using the Excel steps with their accompanying color screenshot figures to show the reader what should be happening on the reader's computer monitor, enabling them to solve statistics problems on their own

• Contains forty (40) statistics problems (as well as answers in chapter appendices) that are integrally related to courses in business and business statistics. These are provided at the end of each chapter, and in a practice test at the end of the volume

• Utilizes a comprehensible style, intended to be more digestible than the typical statistics text

Textbook

Part of the Excel for Statistics book series (EXCELSTAT)

1. Front Matter
Pages i-xix
2. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 1-20
3. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 21-36
4. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 37-65
5. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 67-80
6. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 81-107
7. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 109-151
8. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 153-168
9. Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Pages 169-185
10. Back Matter
Pages 187-244

### Introduction

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.

### Keywords

Applied Biological Statistics Applied Life Sciences Statistics Applied Statistics Biological Statistics Biological Statistics Analysis Life Sciences Statistics Analysis Biological Statistics in Practice Life Sciences Statistics in Practice Biological Statistics with Excel 2019 Life Sciences Statistics with Excel 2019 Excel Guide Excel Statistics Excel 2019 Excel 2019 Analysis

#### Authors and affiliations

1. 1.Professor of MarketingWebster UniversitySt. LouisUSA
2. 2.ParkerUSA
3. 3.ParkerUSA

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 in Fort 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 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.

### Bibliographic information

• Book Title Excel 2019 for Biological and Life 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/10.1007/978-3-030-39281-9
• Copyright Information Springer Nature Switzerland AG 2020
• Publisher Name Springer, Cham
• eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
• Softcover ISBN 978-3-030-39280-2
• eBook ISBN 978-3-030-39281-9
• Series ISSN 2570-4605
• Series E-ISSN 2570-4613
• Edition Number 2
• Number of Pages XIX, 244
• Number of Illustrations 3 b/w illustrations, 162 illustrations in colour
• Topics
• Buy this book on publisher's site
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Health & Hospitals
Biotechnology