LEADER 05301nam 22006015 450 001 9910254065403321 005 20200630162858.0 010 $a3-319-39182-8 024 7 $a10.1007/978-3-319-39182-3 035 $a(CKB)3710000000765134 035 $a(DE-He213)978-3-319-39182-3 035 $a(MiAaPQ)EBC6311279 035 $a(MiAaPQ)EBC5587408 035 $a(Au-PeEL)EBL5587408 035 $a(OCoLC)954207926 035 $a(PPN)194516253 035 $a(EXLCZ)993710000000765134 100 $a20160719d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExcel 2016 for Engineering Statistics $eA Guide to Solving Practical Problems /$fby Thomas J. Quirk 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XV, 248 p. 162 illus., 161 illus. in color.) 225 1 $aExcel for Statistics,$x2570-4605 311 $a3-319-39181-X 327 $aIntroduction -- 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. 330 $aThis book shows the capabilities of Microsoft Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2013 for Engineering Statistics, this book 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 2016 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 162 color screen shots to show the reader how to perform Excel steps correctly Suitable for undergraduates or graduate students At the beginning of his academic career, Prof. Tom J. 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. 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 $a620.00727 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 $a9910254065403321 996 $aExcel 2016 for engineering statistics$91523325 997 $aUNINA