01540aam 2200409I 450 991071077060332120160922100246.0GOVPUB-C13-fb67bf456b7cb964f8247a527bd07955(CKB)5470000002478599(OCoLC)958933341(EXLCZ)99547000000247859920160922d2000 ua 0engrdacontentrdamediardacarrierCertification of the relative molecular mass and the intrinsic viscosity of SRM 2885, a polyethylene /C. M. Guttman; J. R. Maurey; W. R. Blair; C. R. SchultheiszGaithersburg, MD :U.S. Dept. of Commerce, National Institute of Standards and Technology,2000.1 online resourceNISTIR ;64542000.Contributed record: Metadata reviewed, not verified. Some fields updated by batch processes.Title from PDF title page.Includes bibliographical references.Guttman Charles M1391867Blair W. R1389635Guttman Charles M1391867Maurey J. R1407368Schultheisz Carl R1399883National Institute of Standards and Technology (U.S.)NBSNBSGPOBOOK9910710770603321Certification of the relative molecular mass and the intrinsic viscosity of SRM 2885, a polyethylene3488749UNINA05632nam 22006495 450 991030015240332120200701073552.03-319-02830-810.1007/978-3-319-02830-9(CKB)3710000000078604(Springer)9783319028309(MH)013879543-6(SSID)ssj0001067412(PQKBManifestationID)11594169(PQKBTitleCode)TC0001067412(PQKBWorkID)11079855(PQKB)11708862(DE-He213)978-3-319-02830-9(MiAaPQ)EBC6311446(MiAaPQ)EBC1591774(Au-PeEL)EBL1591774(CaPaEBR)ebr10969131(OCoLC)868893131(PPN)176106901(EXLCZ)99371000000007860420131120d2014 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierExcel 2010 for Engineering Statistics A Guide to Solving Practical Problems /by Thomas J. Quirk1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (XV, 246 p. 159 illus., 158 illus. in color.)online resourceBibliographic Level Mode of Issuance: Monograph3-319-02829-4 Introduction -- 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.This 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.   Includes 159 Illustrations in color Suitable for upper undergraduates or graduate students At the beginning of his academic career, Prof. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service.  He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College, and is currently a Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies.  He has written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings.  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 M.B.A. from The University of Missouri-St. Louis.StatisticsStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Statistics and Computing/Statistics Programshttps://scigraph.springernature.com/ontologies/product-market-codes/S12008Statistics, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/S0000XStatistics.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Statistics and Computing/Statistics Programs.Statistics, general.620.00727Quirk Thomas Jauthttp://id.loc.gov/vocabulary/relators/aut721655MiAaPQMiAaPQMiAaPQBOOK9910300152403321Excel 2010 for engineering statistics1410236UNINAThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress