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Excel 2013 for Human Resource Management Statistics: A Guide to Solving Practical Problems
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Bibliographic Detail
Publisher Springer Verlag
Publication date March 25, 2016
Binding Paperback
Book category Adult Non-Fiction
ISBN-13 9783319289816
ISBN-10 3319289810
Original list price $69.99
Summaries and Reviews
Amazon.com description: Product Description:

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-understand human resource management problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.



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Paperback
Book cover for 9783319289816
 
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With Thomas J. Quirk | from Springer Verlag (March 25, 2016)
9783319289816 | details & prices | List price $69.99
About: This book shows how Microsoft Excel is able to teach human resource management statistics effectively.

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