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Titlebook: Excel 2016 for Environmental Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Textbook 20161st ed

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發(fā)表于 2025-3-21 18:36:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Excel 2016 for Environmental Sciences Statistics
副標(biāo)題A Guide to Solving P
編輯Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton
視頻videohttp://file.papertrans.cn/319/318273/318273.mp4
概述Suitable for undergraduates or graduate students.Includes 165 color screen shots so you can be sure you are performing Excel steps correctly.Statistical theory and formulas are explained in clear lang
叢書(shū)名稱(chēng)Excel for Statistics
圖書(shū)封面Titlebook: Excel 2016 for Environmental Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Textbook 20161st ed
描述.This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published?.Excel 2013 for Environmental Sciences Statistics., this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with..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 2016 for Environmental Sciences Statistics: A Guide to Solving Practical Problems.?capitalizes 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, ea
出版日期Textbook 20161st edition
關(guān)鍵詞Applied Environmental Sciences Statistics; Environmental Sciences Statistics; Excel 2016 Environmental
版次1
doihttps://doi.org/10.1007/978-3-319-40057-0
isbn_ebook978-3-319-40057-0Series 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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Excel for Statisticshttp://image.papertrans.cn/e/image/318273.jpg
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Thermal Decomposition of Composites in Fire,nd the standard error of the mean (s.e.) of these scores. All three of these statistics are basic to the study of statistics and are used frequently within many additional statistical tests. The formulas are presented, explained, and a practical example is given for each formula that shows how the f
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https://doi.org/10.1007/978-3-030-58369-9from 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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The Resurgence of Heavy Timber Construction, confidence interval. You will learn how to estimate the population mean (average) for a group of events or objects at a 95?% confidence level so that you are 95?% confident that the population mean is between a lower limit of the data and an upper limit of the data. The formula for computing this c
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https://doi.org/10.1007/978-981-10-8327-3r 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
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https://doi.org/10.1007/978-1-4614-8142-3nd 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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Thomas W. Swetnam,Christopher H. Baisanation mean for the data using either the 95?% confidence interval about the mean (Chap. . of this book) or the one-group t-test of the mean (Chap. . of this book). You have also learned how to test for the difference between the means for two groups of to determine if this difference was a “signific
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