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000725072 020__ $$a9783319125176$$qelectronic book
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000725072 0247_ $$a10.1007/978-3-319-12517-6$$2doi
000725072 035__ $$aSP(OCoLC)ocn899277291
000725072 035__ $$aSP(OCoLC)899277291
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000725072 08204 $$a570.1/5195$$223
000725072 1001_ $$aQuirk, Thomas J.$$eauthor.
000725072 24510 $$aExcel 2013 for biological and life sciences statistics$$h[electronic resource] :$$ba guide to solving practical problems /$$cThomas J. Quirk, Meghan Quirk, Howard F. Horton.
000725072 264_1 $$a[Cham] :$$bSpringer,$$c2015.
000725072 300__ $$a1 online resource.
000725072 336__ $$atext$$btxt$$2rdacontent
000725072 337__ $$acomputer$$bc$$2rdamedia
000725072 338__ $$aonline resource$$bcr$$2rdacarrier
000725072 4901_ $$aExcel for Statistics
000725072 5050_ $$aIntroduction -- Sample size, mean, standard deviation, standard error of the mean -- Random number generator -- Confidence interval about the mean using the TINV function and hypothesis testing -- One-group t-test for the mean -- Two-group t-test of the difference of the means for independent groups -- Correlation and simple linear regression -- Multiple correlation and multiple regression -- One-way analysis of variance (ANOVA) -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Index.
000725072 506__ $$aAccess limited to authorized users.
000725072 520__ $$aThis 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 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. 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 164 illustrations in color Suitable for undergraduates or graduate student Prof. Tom Quirk is currently a Professor of Marketing at The Walker School of Business and Technology at Webster University in St. Louis, Missouri (USA). He has published over 20 articles in professional journals, and presented more than 20 papers at professional conferences. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an MBA from the University of Missouri-St. Louis. Dr. Meghan H. Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion from Principia College in Elsah, Illinois. She has done research on foodweb 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 & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado. Howard F. Horton holds an M.S. in Biological Sciences from the University of Northern Colorado (UNC) and a B.S. 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 was a National Science Foundation Fellow GK-12, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator with the Colorado Parks and Wildlife (USA).
000725072 588__ $$aDescription based on print version record.
000725072 63000 $$aMicrosoft Excel (Computer file)
000725072 650_0 $$aBiometry$$xComputer programs.
000725072 650_0 $$aLife sciences$$xStatistics$$xData processing.
000725072 7001_ $$aQuirk, Meghan,$$eauthor.
000725072 7001_ $$aHorton, Howard F.,$$eauthor.
000725072 77608 $$iPrint version:$$z3319125184$$z9783319125183
000725072 830_0 $$aExcel for Statistics.
000725072 852__ $$bebk
000725072 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-12517-6$$zOnline Access$$91397441.1
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