000 04538nam a22004455i 4500
001 978-3-319-02830-9
003 DE-He213
005 20140220082512.0
007 cr nn 008mamaa
008 131120s2014 gw | s |||| 0|eng d
020 _a9783319028309
_9978-3-319-02830-9
024 7 _a10.1007/978-3-319-02830-9
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aPD
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aQuirk, Thomas J.
_eauthor.
245 1 0 _aExcel 2010 for Engineering Statistics
_h[electronic resource] :
_bA Guide to Solving Practical Problems /
_cby Thomas J. Quirk.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXV, 246 p. 159 illus., 158 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
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.   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.
650 0 _aStatistics.
650 0 _aMathematical statistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aStatistics and Computing/Statistics Programs.
650 2 4 _aStatistics, general.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319028293
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-02830-9
912 _aZDB-2-SMA
999 _c92917
_d92917