Thisbook shows how Microsoft Excel is able to teach healthservices management statistics effectively. Similar to the previously published Excel 2010 for Health Services Management Statistics, it is a step-by-step exercise-driven guide for students andpractitioners who need to master Excel to solve practical health servicesmanagement problems. If understandingstatistics isn't your strongest suit, you are not especiallymathematically-inclined, or if you are wary of computers, this is the rightbook for you. Excel,a widely available computer program for students and managers, is also…mehr
Thisbook shows how Microsoft Excel is able to teach healthservices management statistics effectively. Similar to the previously published Excel 2010 for Health Services Management Statistics, it is a step-by-step exercise-driven guide for students andpractitioners who need to master Excel to solve practical health servicesmanagement problems. If understandingstatistics isn't your strongest suit, you are not especiallymathematically-inclined, or if you are wary of computers, this is the rightbook for you.
Excel,a widely available computer program for students and managers, is also aneffective teaching and learning tool for quantitative analyses in healthservices management courses. Itspowerful computational ability and graphical functions make learning statisticsmuch easier than in years past. Excel 2010 for Health Services ManagementStatistics: A Guide to Solving Practical Problems capitalizes on theseimprovements by teaching students and managers how to apply Excel tostatistical techniques necessary in their courses and work.
Each chapter explains statisticalformulas 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 ofeach 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 havelearned.
Thomas J. Quirk is Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Louis, Missouri, where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He holds both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, a B.S. in Mathematics from John Carroll University, and an M.B.A. from the University of Missouri-St. Louis. He researched full-time for six years at the American Institutes for Research in Palo, Alto, California, and the Educational Testing Service in Princeton, New Jersey. Professor Quirk has published over 30 statistics book with Springer, covering fourteen subject areas (business, education, psychology, social science, biological and life sciences, physical sciences, engineering, human resources management, health services management, environmental sciences, and marketing, social work and advertising) using four versions of Excel (2007, 2010, 2013,2016). He has also published over 20 articles in professional journals, and presented more than 20 papers at professional conferences. Quirk holds a B.S. in Mathematics from John Carroll University, both an MA in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from the University of Missouri-St. Louis.
Inhaltsangabe
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- Random Number Generator.- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.- One-Group t-Test for the Mean.- Two-Group t-Test of the Difference of the Means for Independent Groups.- Correlation and Simple Linear Regression.- Multiple Correlation and Multiple Regression.- 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.
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- Random Number Generator.- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.- One-Group t-Test for the Mean.- Two-Group t-Test of the Difference of the Means for Independent Groups.- Correlation and Simple Linear Regression.- Multiple Correlation and Multiple Regression.- 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.
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