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000696486 020__ $$a9783319028309 $$qelectronic book
000696486 020__ $$a3319028308 $$qelectronic book
000696486 020__ $$z9783319028293
000696486 0247_ $$a10.1007/978-3-319-02830-9$$2doi
000696486 035__ $$aSP(OCoLC)ocn868893131
000696486 035__ $$aSP(OCoLC)868893131
000696486 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDXCP
000696486 049__ $$aISEA
000696486 050_4 $$aTA340
000696486 08204 $$a620.007/27$$223
000696486 1001_ $$aQuirk, Thomas J.$$eauthor.
000696486 24510 $$aExcel 2010 for engineering statistics$$h[electronic resource] :$$ba guide to solving practical problems /$$cThomas J. Quirk.
000696486 264_1 $$aCham :$$bSpringer,$$c2014.
000696486 300__ $$a1 online resource (xv, 246 pages) :$$billustrations (some color)
000696486 336__ $$atext$$btxt$$2rdacontent
000696486 337__ $$acomputer$$bc$$2rdamedia
000696486 338__ $$aonline resource$$bcr$$2rdacarrier
000696486 504__ $$aIncludes bibliographical references and index.
000696486 5050_ $$aSample size, mean, standard deviation, standard error of the mean -- Random number generator -- Confidence interval about the mean using the TINV function and hypothesis testing -- One-group t-test for the mean -- Two-group t-test of the difference of the means for independent groups -- Correlation and simple linear regression -- Multiple correlation and multiple regression -- One-way analysis of variance (ANOVA).
000696486 506__ $$aAccess limited to authorized users.
000696486 520__ $$aThis is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isn't your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Engineering Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.  Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.
000696486 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed November 25, 2013).
000696486 63000 $$aMicrosoft Excel (Computer file)
000696486 650_0 $$aEngineering$$xStatistical methods.
000696486 85280 $$bebk$$hSpringerLink
000696486 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-02830-9$$zOnline Access
000696486 909CO $$ooai:library.usi.edu:696486$$pGLOBAL_SET
000696486 980__ $$aEBOOK
000696486 980__ $$aBIB
000696486 982__ $$aEbook
000696486 983__ $$aOnline
000696486 994__ $$a92$$bISE