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Can I read Excel 2016 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) on EtoBox?
Excel 2016 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) by Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (auth.) is a nonfiction available to read on EtoBox.
What is Excel 2016 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) about?
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. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. 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. However, __Excel 2016 for Biological and Life 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 2016 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
Who reads Excel 2016 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (auth.)
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2016
- Language
- EN
- ISBN
- 9783319394893
- Category
- nonfiction
- Subjects
- Computer Science, Medical, Science
Other editions & translations
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