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Titlebook: Excel 2013 for Engineering Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2015 Springer International Publishing Switzerland 201

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M. I. Friswell,J. E. Mottershead test, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, and the
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https://doi.org/10.1007/978-0-85729-661-0 the 95 % confidence interval about the mean (Chap. .) and the one-group t-test is explained. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem is presented in the
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https://doi.org/10.1007/978-3-319-03197-2tical example. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem is presented in the Practice Test given in Appendix B along with its answer in Appendix C of this
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Complementary Variational Principles,o write the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables is explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the correlation
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https://doi.org/10.1007/978-94-017-7761-2ups to see if they are “significantly different from each other.” If this overall ANOVA test is produces a significant result, you will learn how to test the hypotheses comparing any two groups using an ANOVA t-test formula. This formula is presented, explained, and a practical engineering example i
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2570-4605 s include a CD of Excel files. Instead, you’ll be shown how .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 engineer
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