| 书目名称 | Excel 2010 for Environmental Sciences Statistics |
| 副标题 | A Guide to Solving P |
| 编辑 | Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton |
| 视频video | |
| 概述 | Suitable for undergraduates or graduate students.Includes 162 color screen shots so you can be sure you are performing Excel steps correctly.Statistical theory and formulas are explained in clear lang |
| 丛书名称 | Excel for Statistics |
| 图书封面 |  |
| 描述 | .This is the first book to show the capabilities of Microsoft Excel to teach environmental sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental sciences 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 environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, .Excel 2010 for Environmental Sciences 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 intheir courses and work...Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided |
| 出版日期 | Textbook 2015 |
| 关键词 | Applied Environmental Statistics; Excel 2010; Excel Environmental Sciences; Excel Guide; Excel Statistic |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-23971-2 |
| isbn_softcover | 978-3-319-23969-9 |
| isbn_ebook | 978-3-319-23971-2Series ISSN 2570-4605 Series E-ISSN 2570-4613 |
| issn_series | 2570-4605 |
| copyright | Springer International Publishing Switzerland 2015 |
发表于 2025-3-21 20:00:30
