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Excel 2010 for Human Resource Management Statistics

A Guide to Solving Practical Problems

Thomas J Quirk, Julie Palmer-Schuyler

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Springer International Publishing img Link Publisher

Sozialwissenschaften, Recht, Wirtschaft / Allgemeines, Lexika

Beschreibung

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 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.Includes 159 illustrations in colorSuitable for undergraduate and graduate students

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Schlagwörter

Applied Human Resource Management Statistics, Human Resource Management Statistics, Human Resource Management Statistics a first course, Statistics for Human Resources, HR Statistics, HR Data Analysis, Excel 2010 Human Resource Management Statistics, Turnover Rate Statistics, Practical Human Resource Management Statistics, Regression Human Resources