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Titlebook: Excel 2019 for Business Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2020Latest edition The Editor(s) (if applicable) and The

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書目名稱Excel 2019 for Business Statistics
副標(biāo)題A Guide to Solving P
編輯Thomas J. Quirk
視頻videohttp://file.papertrans.cn/319/318283/318283.mp4
概述Written in a step-by-step, instructional format, using the Excel steps with their accompanying color screenshot figures to show the reader what should be happening on the reader‘s computer monitor, en
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2019 for Business Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2020Latest edition The Editor(s) (if applicable) and The
描述.Newly revised to specifically provide demonstration in Excel 2019, this volume shows the capabilities of Microsoft Excel in business statistics. Similar to its predecessor, .Excel 2016 for Business Statistics., it is a step-by-step, exercise-driven guide for students and practitioners who are looking to master Excel to solve practical business problems. .Excel, a widely available computer program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. .Excel 2019 for Business Statistics: A Guide to Solving Practical Problems.?capitalizeson these improvements by teaching students and managers how to applyExcel to statistical techniques necessary in their courses and work..Each chapter explains statistical formulas and directs the reader to use Excel commands tosolve specific, easy-to-understand business 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 t
出版日期Textbook 2020Latest edition
關(guān)鍵詞ANOVA; Applied Business Statistics; Business Statistics; Excel 2019 Business Statistics; Excel 2019 Text
版次2
doihttps://doi.org/10.1007/978-3-030-39261-1
isbn_softcover978-3-030-39260-4
isbn_ebook978-3-030-39261-1Series 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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Correlation and Simple Linear Regression,th the Excel steps needed to create a chart summarizing the relationship between the two variables. You will learn how to use Excel to draw the “best-fit line” through the data points on a scatterplot and how to determine the equation for this line so that you can use this equation to predict one va
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Multiple Correlation and Multiple Regression,e the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables are explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the correlation betw
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Sovereign Debt Resolution Prospects,ecific number of decimal places, how to save an Excel worksheet into your computer, and how to print out an Excel worksheet. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional pract
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