01321nam0 22003253i 450 UBO171131320231121125857.0575520074220150109d1997 ||||0itac50 barusruz01i xxxe z01nIstoriceskaja grammatika russkogo jazyka posobie dlja prakticeskih zanjatijE. F. Vaseko, K. V. GorskovaMoskvaFilologija1997251 p. 21 cmIn testa al front.: Moskovskij gosudarstvennyj universitet im. M. V. Lomonosova, Filologiceskij fakultet.Lingua russaGrammatica storicaFIRRMLC003897I491.7LINGUA RUSSA22Vaseko, Elena FedorovnaUBOV7697950701447935Gorškova, Klavdija VasilevnaMILV135047070684851Gorškova, K. V.BVEV107493Gorškova, Klavdija VasilevnaITIT-0120150109IT-FR0017 Biblioteca umanistica Giorgio ApreaFR0017 NUBO1711313Biblioteca umanistica Giorgio Aprea 52MAG 5/996 52LLC0000027095 VMN RS A 2015010920150109 52Istoriceskaja grammatika russkogo jazyka3640320UNICAS04497nam 22006735 450 991030025890332120200629115536.03-319-23555-910.1007/978-3-319-23555-4(CKB)3710000000521707(SSID)ssj0001585102(PQKBManifestationID)16265774(PQKBTitleCode)TC0001585102(PQKBWorkID)14865870(PQKB)11198377(DE-He213)978-3-319-23555-4(MiAaPQ)EBC6312127(MiAaPQ)EBC5594719(Au-PeEL)EBL5594719(OCoLC)932168866(PPN)19052703X(EXLCZ)99371000000052170720151015d2015 u| 0engurnn|008mamaatxtccrExcel 2013 for Engineering Statistics A Guide to Solving Practical Problems /by Thomas J. Quirk1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (XV, 248 p. 162 illus., 161 illus. in color.) Excel for Statistics,2570-4605Bibliographic Level Mode of Issuance: Monograph3-319-23554-0 Sample Size, Mean, Standard Deviation, and 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:  Answers to End-of-Chapter Practice Problems -- Appendix B:  Practice Test -- Appendix C:  Answers to Practice Test -- Appendix D:  Statistical Formulas -- Appendix E:  t-table.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 2013 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.Excel for Statistics,2570-4605StatisticsApplied mathematicsEngineering mathematicsStatistics 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/S12008Mathematical and Computational Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T11006Statistics.Applied mathematics.Engineering mathematics.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Statistics and Computing/Statistics Programs.Mathematical and Computational Engineering.519.5Quirk Thomas Jauthttp://id.loc.gov/vocabulary/relators/aut721655MiAaPQMiAaPQMiAaPQBOOK9910300258903321Excel 2013 for engineering statistics1522786UNINA