000 02426nam a22003135i 4500
001 91944
005 20231115111302.0
010 _a978-3-030-58001-8
_dcompra
090 _a91944
100 _a20231023d2020 k||y0pory50 ba
101 _aeng
102 _aCH
200 _aExcel 2019 for human resource management statistics
_bDocumento eletrĂ³nico
_ea guide to solving practical problems
_fby Thomas J. Quirk, Julie Palmer-Schuyler
205 _a2nd ed.
210 _aCham
_cSpringer
_d2020
215 _aXIX, 256 p.
_cil.
225 _aExcel for Statistics
303 _aThis 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 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.
606 _aSocial sciences
_xStatistical methods
606 _aPersonnel management
606 _aDigital humanities
680 _aHA1-4737
700 _aQuirk
_bThomas J.
_97849
701 _aPalmer-Schuyler
_bJulie
_4070
_934085
801 _aPT
_gRPC
856 _uhttps://doi.org/10.1007/978-3-030-58001-8
942 _2lcc
_cF
_n0