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Titlebook: Excel 2013 for Educational and Psychological Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2015 The Editor(s) (if applicable) a

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書目名稱Excel 2013 for Educational and Psychological Statistics
副標(biāo)題A Guide to Solving P
編輯Thomas J. Quirk
視頻videohttp://file.papertrans.cn/319/318261/318261.mp4
概述Statistical theory and formulas are explained in clear language without bogging you down in mathematical fine points.You will be told each step of the way, not only how to use Excel, but also why you
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2013 for Educational and Psychological Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2015 The Editor(s) (if applicable) a
描述.This is the first book to show the capabilities of Microsoft Excel to teach educational and psychological statistics effectively.? It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems in education and psychology.? 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 practitioners, is also an effective teaching and learning tool for quantitative analyses in statistics courses.? Its powerful computational ability and graphical functions make learning statistics much easier than in years past.? However, .Excel 2013 for Educational and Psychological Statistics: A Guide to Solving Practical Problems. is the first book to capitalize on these improvements by teaching students and practitioners 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 problems in education and psychology.? Practi
出版日期Textbook 2015
關(guān)鍵詞Excel 2013; Excel Guide; Statistics for Educators; Statistics for Psychologists; Applied Psychological S
版次1
doihttps://doi.org/10.1007/978-3-319-26712-8
isbn_softcover978-3-319-26711-1
isbn_ebook978-3-319-26712-8Series 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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Excel for Statisticshttp://image.papertrans.cn/e/image/318261.jpg
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Eftychios Sifakis,Jernej Barbi? and one measurement “number” on each of these people. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of people instead of only one group of people. The nine steps for hypothesis-testing using the two-group t-test are presented, including the
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Nonconvex Optimization and Its Applicationsresearch study and only one measurement (i.e., variable) “number” on each of these people. 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
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https://doi.org/10.1007/978-1-4471-4330-7better prediction model by using . to predict Y instead of a single predictor as we discussed in Chap. 6 of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighed differently in an equation, to predict Y. The job of multip
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