Excel 2010 for engineering statistics [electronic resource] : a guide to solving practical problems / Thomas J. Quirk.
Quirk, Thomas J. author.
2014
TA340
Available Online

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Title Excel 2010 for engineering statistics [electronic resource] : a guide to solving practical problems / Thomas J. Quirk.
Author Quirk, Thomas J. author.
ISBN 9783319028309 electronic book
3319028308 electronic book
9783319028293
DOI https://doi.org/10.1007/978-3-319-02830-9
Published Cham : Springer, 2014.
Language English
Description 1 online resource (xv, 246 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-319-02830-9 doi
Call Number TA340
Dewey Decimal Classification 620.007/27
Summary 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 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from PDF title page (SpringerLink, viewed November 25, 2013).
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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).

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