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

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發(fā)表于 2025-3-21 17:23:14 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Excel 2016 for Physical Sciences Statistics
副標題A Guide to Solving P
編輯Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton
視頻videohttp://file.papertrans.cn/319/318277/318277.mp4
概述jectives for each concept so you know the purpose of the Excel steps.Each chapter presents key steps needed to solve practical science problems using Excel. In addition, three practice problems at the
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2016 for Physical Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Textbook 20161st edition
描述.This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published .Excel 2013 for Physical Sciences Statistics., this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical physical 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 physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, .Excel 2016 for Physical 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, easy-to-understand physic
出版日期Textbook 20161st edition
關(guān)鍵詞Excel 2016; Excel for Physical Science; Excel Guide; Statistics for Physical Science; Applied Physical S
版次1
doihttps://doi.org/10.1007/978-3-319-40075-4
isbn_ebook978-3-319-40075-4Series 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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One-Group t-Test for the Mean, 95?% confidence interval about the mean (Chap. .) and the one-group t-test is explained. 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 Pra
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Correlation and Simple Linear Regression,th 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 va
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Multiple Correlation and Multiple Regression, 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 determine the correlation betwee
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One-Way Analysis of Variance (ANOVA),see if they are “significantly different from each other.” If this overall ANOVA test is 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 science example is used deli
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