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Titlebook: Excel 2019 for Health Services Management Statistics; A Guide to Solving P Thomas J. Quirk,Simone M. Cummings Textbook 2020Latest edition T

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发表于 2025-3-21 19:41:01 | 显示全部楼层 |阅读模式
书目名称Excel 2019 for Health Services Management Statistics
副标题A Guide to Solving P
编辑Thomas J. Quirk,Simone M. Cummings
视频video
概述Presents practical examples of problems taken from several areas in health services management and statistics.Addresses both how to write statistical formulas and how to use drop-down menus to create
丛书名称Excel for Statistics
图书封面Titlebook: Excel 2019 for Health Services Management Statistics; A Guide to Solving P Thomas J. Quirk,Simone M. Cummings Textbook 2020Latest edition T
描述.This book shows the capabilities of Microsoft Excel in teachinghealth services management statistics effectively. Similar to thepreviously published .Excel 2016 for Health Services Management Statistics.,this book is a step-by-step, exercise-driven guide for students andpractitioners who need to master Excel to solve practical health servicesmanagement problems. If understanding statistics isn’t your strongestsuit, you are not especially mathematically inclined, or if you are waryof 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 quantitativeanalyses in health services courses. Its powerful computational abilityand graphical functions make learning statistics much easier than inyears past. However, .Excel 2019 for Health Services Management Statistics: A Guide to Solving Practical Problems, 2nd Edition. capitalizes on these improvements by teachingstudents and managers how to apply Excel to statistical techniquesnecessary in their courses and work...Each chapter explains statistical formulas and directs the reader touse Excel commands to solve specific, easy-to-unde
出版日期Textbook 2020Latest edition
关键词Excel 2019; Excel for Physical Science; Excel Guide; Applied Health Services Management Statistics; Exce
版次2
doihttps://doi.org/10.1007/978-3-030-57828-2
isbn_softcover978-3-030-57827-5
isbn_ebook978-3-030-57828-2Series ISSN 2570-4605 Series E-ISSN 2570-4613
issn_series 2570-4605
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,confidence interval. You will learn how to estimate the population mean (average) for a group of events or objects at a 95% confidence level so that you are 95% confident that the population mean is between a lower limit of the data and an upper limit of the data. The formula for computing this conf
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Correlation and Simple Linear Regression,search study and only one measurement (i.e., variable) “number” on each of these. This chapter asks you to change gears again and to deal with the situation in which you are measuring two variables instead of only one variable, and you are trying to discover the “relationship” between these variable
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One-Way Analysis of Variance (ANOVA),ation mean for the data using either the 95% confidence interval about the mean (Chap. . of this book) or the one-group t-test of the mean (Chap. . of this book). You have also learned how to test for the difference between the means for two groups to determine if this difference was a “significant”
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https://doi.org/10.1007/978-1-4419-9500-1ter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem is presented in the Practice Test given in Appendix B along with its answer in Appendix C of this book.
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