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Excel 2019 for Human Resource Management Statistics : A Guide to Solving Practical Problems. 2nd ed. 2020

種類:
電子ブック
責任表示:
by Thomas J. Quirk, Julie Palmer-Schuyler
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2020
著者名:
シリーズ名:
Excel for Statistics ;
ISBN:
9783030580018 [3030580016]  CiNii Books  Calil
注記:
Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index.
This book shows the capabilities of Microsoft Excel in teaching human resource management statistics effectively. Similar to the previously published Excel 2016 for Human Resource Management Statistics, this book 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 2019 for Human Resource Management Statistics: A Guide to Solving Practical Problems, 2nd Edition, capitalizes on these improvements by teaching students and managers how to appl
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Quirk, Thomas J., Cummings, Simone., SpringerLink (Online service)

Springer International Publishing : Imprint: Springer

Quirk, Thomas J., Rhiney, Eric., SpringerLink (Online service)

Springer International Publishing : Imprint: Springer

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Springer International Publishing : Imprint: Springer