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Excel 2019 for Health Services Management Statistics

A Guide to Solving Practical Problems

Thomas J. Quirk Simone M. Cummings

$168.95   $134.76

Paperback

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English
Springer Nature Switzerland AG
22 November 2020
This book shows the capabilities of Microsoft Excel in teaching

health services management statistics effectively. Similar to the

previously published Excel 2016 for Health Services Management Statistics,

this book is a step-by-step, exercise-driven guide for students and

practitioners who need to master Excel to solve practical health services

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 health services courses. Its powerful computational ability

and graphical functions make learning statistics much easier than in

years past. However, Excel 2019 for Health Services 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 health services

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.

By:   ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Edition:   2nd ed. 2020
Dimensions:   Height: 235mm,  Width: 155mm, 
Weight:   454g
ISBN:   9783030578275
ISBN 10:   3030578275
Series:   Excel for Statistics
Pages:   252
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
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.- 5 Two-Group t-Test of the Difference of the Means for Independent Groups.- 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.

At the beginning of his academic career, Prof. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He is currently a Professor Emeritus of Marketing in The Walker School of Business & Technology at Webster University based in St. Louis, Missouri where he taught Marketing Statistics, Marketing Research, and Pricing Strategies. He holds a BS in Mathematics from John Carroll University, both an MA in Education and a PhD in Educational Psychology from Stanford University, and an MBA from The University of Missouri-St. Louis. Prof. Cummings has worked for several hospitals in St. Louis, Missouri, and Washington, D.C.  She is currently Dean of The Walker School of Business & Technology at Webster University in St. Louis, Missouri where she teaches Statistics for Healthcare Management and Healthcare Finance.  She holds a BSBA from Washington University in St. Louis, an MHA from the Washington University School of Medicine, and a PhD in Health Policy and Administration from the University of North Carolina Chapel Hill.  

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