| 书目名称 | Excel 2016 for Engineering Statistics | | 副标题 | A Guide to Solving P | | 编辑 | Thomas J. Quirk | | 视频video | | | 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 | | 丛书名称 | Excel for Statistics | | 图书封面 |  | | 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 | | 关键词 | Applied Engineering Statistics; Applied Statistics; Basic Engineering Statistics; Engineering Statistic | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-39182-3 | | isbn_ebook | 978-3-319-39182-3Series ISSN 2570-4605 Series E-ISSN 2570-4613 | | issn_series | 2570-4605 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:53:14
