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Titlebook: Excel 2013 for Human Resource Management Statistics; A Guide to Solving P Thomas J. Quirk,Julie Palmer-Schuyler Textbook 2016 The Editor(s)

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書目名稱Excel 2013 for Human Resource Management Statistics
副標(biāo)題A Guide to Solving P
編輯Thomas J. Quirk,Julie Palmer-Schuyler
視頻videohttp://file.papertrans.cn/319/318265/318265.mp4
概述alth services management.A “Practice Test” is given in Appendix B to test your knowledge at the end of the book. Answers appear in Appendix C.This book purposely does not include a CD of Excel files.
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2013 for Human Resource Management Statistics; A Guide to Solving P Thomas J. Quirk,Julie Palmer-Schuyler Textbook 2016 The Editor(s)
描述.This book shows how Microsoft Excel is able to teach human resource management statistics effectively. Similar to the previously published .Excel 2010 for Human Resource Management Statistics., it is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management 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 human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. .Excel 2013 for Human Resource Management Statistics: A Guide to Solving Practical Problems. is the next 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-unders
出版日期Textbook 2016
關(guān)鍵詞Excel 2013; Excel for Human Resource Management; Excel Guide; Applied Human Resource Management Statist
版次1
doihttps://doi.org/10.1007/978-3-319-28982-3
isbn_softcover978-3-319-28981-6
isbn_ebook978-3-319-28982-3Series 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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Textbook 2016roblems. is the next 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-unders
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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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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,es the coefficients 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
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One-Way Analysis of Variance (ANOVA),population means of the three or more groups to 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, explain
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