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020 _a9783319235554
_9978-3-319-23555-4
024 7 _a10.1007/978-3-319-23555-4
_2doi
035 _ato000560761
040 _aSpringer
_cSpringer
_dRU-ToGU
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.
_9448429
245 1 0 _aExcel 2013 for Engineering Statistics
_helectronic resource
_bA Guide to Solving Practical Problems /
_cby Thomas J. Quirk.
250 _a1st ed. 2015.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXV, 248 p. 162 illus., 161 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aExcel for Statistics
505 0 _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.
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 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.
650 0 _aStatistics.
_9124796
650 0 _aApplied mathematics.
_9460111
650 0 _aEngineering mathematics.
_9303575
650 1 4 _aStatistics.
_9124796
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_9410653
650 2 4 _aStatistics and Computing/Statistics Programs.
_9303277
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
_9303577
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aExcel for Statistics
_9451528
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-23555-4
912 _aZDB-2-SMA
999 _c415402