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＜電子ブック＞
Excel 2013 for Engineering Statistics : A Guide to Solving Practical Problems / by Thomas J. Quirk
(Excel for Statistics. ISSN:25704613)

版	1st ed. 2015.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2015
大きさ	XV, 248 p. 162 illus., 161 illus. in color : online resource
著者標目	*Quirk, Thomas J author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Mathematical statistics—Data processing LCSH:Engineering mathematics LCSH:Engineering—Data processing FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences FREE:Statistics and Computing FREE:Mathematical and Computational Engineering Applications
一般注記	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 HTTP:URL=https://doi.org/10.1007/978-3-319-23555-4

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