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000931570 019__ $$a1153291802$$a1153306550
000931570 020__ $$a9783030392789$$q(electronic book)
000931570 020__ $$a3030392783$$q(electronic book)
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000931570 0247_ $$a10.1007/978-3-030-39278-9$$2doi
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000931570 049__ $$aISEA
000931570 050_4 $$aTA340
000931570 08204 $$a620.0072/7$$223
000931570 1001_ $$aQuirk, Thomas J.
000931570 24510 $$aExcel 2019 for engineering statistics :$$ba guide to solving practical problems /$$cThomas J. Quirk.
000931570 250__ $$a2nd ed.
000931570 260__ $$aCham :$$bSpringer,$$c2020.
000931570 300__ $$a1 online resource (260 pages).
000931570 336__ $$atext$$btxt$$2rdacontent
000931570 337__ $$acomputer$$bc$$2rdamedia
000931570 338__ $$aonline resource$$bcr$$2rdacarrier
000931570 347__ $$atext file$$bPDF$$2rda
000931570 4901_ $$aExcel for Statistics Ser.
000931570 504__ $$aIncludes bibliographical references and index.
000931570 506__ $$aAccess limited to authorized users.
000931570 520__ $$aNewly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2016 for Engineering Statistics, this volume is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. Excel, a widely available computer program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Engineering Statistics capitalizes on these improvements by teaching readers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. This new edition features a wealth of new sample problems and solutions, as well as updated chapter content throughout.
000931570 588__ $$aDescription based on print version record.
000931570 63000 $$aMicrosoft Excel (Computer file)
000931570 650_0 $$aEngineering$$xStatistical methods.
000931570 77608 $$iPrint version:$$aQuirk, Thomas J.$$tExcel 2019 for Engineering Statistics : A Guide to Solving Practical Problems$$dCham : Springer International Publishing AG,c2020$$z9783030392772
000931570 830_0 $$aExcel for statistics.
000931570 852__ $$bebk
000931570 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-39278-9$$zOnline Access$$91397441.1
000931570 909CO $$ooai:library.usi.edu:931570$$pGLOBAL_SET
000931570 980__ $$aEBOOK
000931570 980__ $$aBIB
000931570 982__ $$aEbook
000931570 983__ $$aOnline
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