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Titlebook: Excel 2010 for Human Resource Management Statistics; A Guide to Solving P Thomas J Quirk,Julie Palmer-Schuyler Textbook 2014 Springer Inter

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書目名稱Excel 2010 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/319/318256/318256.mp4
概述Statistical theory and formulas are explained in clear language without bogging you down in mathematical fine points.You will be told each step of the way, not only how to use Excel, but also why you
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2010 for Human Resource Management Statistics; A Guide to Solving P Thomas J Quirk,Julie Palmer-Schuyler Textbook 2014 Springer Inter
描述.This is the first book to show the capabilities of Microsoft Excel to teach human resource management statistics effectively. 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. However, .Excel 2010 for Human Resource Management 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 in their courses and work. .Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand human resource management problems. Practice problems
出版日期Textbook 2014
關(guān)鍵詞Applied Human Resource Management Statistics; Excel 2010 Human Resource Management Statistics; HR Data
版次1
doihttps://doi.org/10.1007/978-3-319-10650-2
isbn_softcover978-3-319-10649-6
isbn_ebook978-3-319-10650-2Series ISSN 2570-4605 Series E-ISSN 2570-4613
issn_series 2570-4605
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Electrical Properties (Induction) Logging,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/10.1007/978-3-319-20255-6nd 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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Applying Program Analysis to Code Retrievalsearch study and only one measurement (i.e., variable) “number” on each of these. This chapter asks you to change gears again and to deal with the situation in which you are measuring two variables instead of only one variable, and you are trying to discover the “relationship” between these variable
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Seeking Out the Real Night Sky,ation mean for the data using either the 95?% confidence interval about the mean (Chapter 3 of this book) or the one-group t-test of the mean (Chapter 4 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 “sign
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