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Excel 2010 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems
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Details
Dewey Class
519.5
Titel
Excel 2010 for Biological and Life Sciences Statistics (EB) : A Guide to Solving Practical Problems / by Thomas J. Quirk, Meghan Quirk, Howard Horton.
Verfasser
Quirk, Thomas J.
Added Personal Name
Quirk, Meghan
Horton, Howard
Other name(s)
SpringerLink (Online service)
Veröffentl
New York, NY : Springer
, 2013.
Physical Details
XVII, 236 p. 162 illus., 160 illus. in color. : online resource.
ISBN
9781461457794
Summary Note
This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isnât your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 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 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 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. Includes 162 illustrations in color Suitable for undergraduates or graduate students:
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-1-4614-5779-4
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Schlagwörter:
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Mathematical Statistics
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Statistics
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Statistics and Computing/Statistics Programs
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Statistics for Life Sciences, Medicine, Health Sciences
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Statistics, general
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Horton, Howard
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Quirk, Meghan
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Quirk, Thomas J.
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