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Titlebook: Excel 2019 for Environmental Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Textbook 2021Latest

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發(fā)表于 2025-3-21 18:29:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Excel 2019 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/319/318286/318286.mp4
概述Written in a step-by-step, instructional format, using the Excel steps with their accompanying color screenshot figures to show the reader what should be happening on the reader‘s computer monitor, en
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2019 for Environmental Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Textbook 2021Latest
描述.This book shows the capabilities of Microsoft Excel in teachingenvironmental science statistics effectively. Similar to the previouslypublished?.Excel 2016 for Environmental Sciences Statistics., thisbook is a step-by-step, exercise-driven guide for students andpractitioners who need to master Excel to solve practical environmentalscience problems. If understanding statistics isn’t the reader’sstrongest suit, the reader is not mathematically inclined, or if thereader is new to computers or to Excel, this is the book to start offwith..Excel, a widely available computer program for students andmanagers, is also an effective teaching and learning tool forquantitative analyses in environmental science courses. Its powerfulcomputational ability and graphical functions make learning statisticsmuch easier than in years past. .Excel 2019 for Environmental Sciences Statistics: A Guide to Solving Practical Problems.?capitalizeson these improvements by teaching students and managers how to applyExcel to statistical techniques necessary in their courses and work..In this new edition, eachchapter explains statistical formulas and directs the reader to useExcel commands to solve specific, easy-
出版日期Textbook 2021Latest edition
關(guān)鍵詞Applied Environmental Sciences Statistics; Environmental Sciences Statistics; Excel 2019 Environmental
版次2
doihttps://doi.org/10.1007/978-3-030-66277-6
isbn_softcover978-3-030-66276-9
isbn_ebook978-3-030-66277-6Series 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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Sample Size, Mean, Standard Deviation, and Standard Error of the Mean,ecific number of decimal places, how to save an Excel worksheet into your computer, and how to print out an Excel worksheet. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional pract
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Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, and the answ
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Two-Group t-Test of the Difference of the Means for Independent Groups,as using a practical example. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem is presented in the Practice Test given in Appendix B along with its answer in Appe
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Correlation and Simple Linear Regression,with the Excel steps needed to create a chart summarizing the relationship between the two variables. You will learn how to use Excel to draw the “best-fit line” through the data points on a scatterplot and how to determine the equation for this line so that you can use this equation to predict one
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Multiple Correlation and Multiple Regression,oefficients needed to write the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables is explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to deter
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One-Way Analysis of Variance (ANOVA),more groups to see if they are “significantly different from each other.” If this overall ANOVA test produces a significant result, you will learn how to test the hypotheses comparing any two groups using an ANOVA t-test formula. This formula is presented, explained, and a practical environmental sc
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Menakshi Dhar,Raman Jasrotia,Seema Langer, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, and the answ
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