LEADER 04497nam 22006735 450 001 9910300258903321 005 20200629115536.0 010 $a3-319-23555-9 024 7 $a10.1007/978-3-319-23555-4 035 $a(CKB)3710000000521707 035 $a(SSID)ssj0001585102 035 $a(PQKBManifestationID)16265774 035 $a(PQKBTitleCode)TC0001585102 035 $a(PQKBWorkID)14865870 035 $a(PQKB)11198377 035 $a(DE-He213)978-3-319-23555-4 035 $a(MiAaPQ)EBC6312127 035 $a(MiAaPQ)EBC5594719 035 $a(Au-PeEL)EBL5594719 035 $a(OCoLC)932168866 035 $a(PPN)19052703X 035 $a(EXLCZ)993710000000521707 100 $a20151015d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aExcel 2013 for Engineering Statistics $eA Guide to Solving Practical Problems /$fby Thomas J. Quirk 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XV, 248 p. 162 illus., 161 illus. in color.) 225 1 $aExcel for Statistics,$x2570-4605 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-23554-0 327 $aSample 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. 330 $aThis is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively.  It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems.  If understanding statistics isn?t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in engineering courses.  Its powerful computational ability and graphical functions make learning statistics much easier than in years past.  However, Excel 2013 for Engineering Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems.  Practice problems are provided at the end of each chapter with their solutions in an Appendix.  Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. 410 0$aExcel for Statistics,$x2570-4605 606 $aStatistics 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 615 0$aStatistics. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 14$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aMathematical and Computational Engineering. 676 $a519.5 700 $aQuirk$b Thomas J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721655 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300258903321 996 $aExcel 2013 for engineering statistics$91522786 997 $aUNINA