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Titlebook: Excel 2016 for Engineering Statistics; A Guide to Solving P Thomas J. Quirk Textbook 20161st edition The Editor(s) (if applicable) and The

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書(shū)目名稱(chēng)Excel 2016 for Engineering Statistics
副標(biāo)題A Guide to Solving P
編輯Thomas J. Quirk
視頻videohttp://file.papertrans.cn/319/318272/318272.mp4
概述Each chapter presents key steps needed to solve practical, easy-to-understand engineering science problems using Excel. In addition, three practice problems at the end of each chapter enable you to te
叢書(shū)名稱(chēng)Excel for Statistics
圖書(shū)封面Titlebook: Excel 2016 for Engineering Statistics; A Guide to Solving P Thomas J. Quirk Textbook 20161st edition The Editor(s) (if applicable) and The
描述.This book shows the capabilities of Microsoft Excel in teaching engineering statistics effectively. Similar to the previously published .Excel 2013 for Engineering Statistics., this book 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 2016 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 problem
出版日期Textbook 20161st edition
關(guān)鍵詞Applied Engineering Statistics; Applied Statistics; Basic Engineering Statistics; Engineering Statistic
版次1
doihttps://doi.org/10.1007/978-3-319-39182-3
isbn_ebook978-3-319-39182-3Series ISSN 2570-4605 Series E-ISSN 2570-4613
issn_series 2570-4605
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Random Number Generator,from which you want to take a random sample. You will learn how to use Excel to create frame numbers for generating random numbers, why a set of duplicate frame numbers is important, and the Excel commands needed to sort the frame numbers into a random sequence. In addition, you will learn how to pr
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One-Group t-Test for the Mean,. This test compares the mean of your data set against the hypothesized population mean for your data to determine if the difference between these two values is “l(fā)arge enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using you
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Two-Group t-Test of the Difference of the Means for Independent Groups,nd one measurement “number” on each of these. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of instead of only one group. The nine steps for hypothesis-testing using the two-group t-test are presented, including the decision rule for either a
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