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Titlebook: Excel 2016 for Social Science Statistics; A Guide to Solving P Thomas J. Quirk Textbook 20161st edition The Editor(s) (if applicable) and T

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書目名稱Excel 2016 for Social Science Statistics
副標(biāo)題A Guide to Solving P
編輯Thomas J. Quirk
視頻videohttp://file.papertrans.cn/319/318278/318278.mp4
概述Presents practical examples of problems, taken from several areas in social science and statistics.Addresses both how to write statistical formulas and how to use drop-down menus to create formulas in
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2016 for Social Science Statistics; A Guide to Solving P Thomas J. Quirk Textbook 20161st edition The Editor(s) (if applicable) and T
描述.This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published .Excel 2013 for Social Sciences Statistics., this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science 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 social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, .Excel 2016 for Social Science Statistics: A Guide to Solving Practical Problems. is the first book to capitalize 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 social science proble
出版日期Textbook 20161st edition
關(guān)鍵詞Applied Social Science Statistics; Social Science Statistics; Applied Sciences; Excel 2016 Social Scien
版次1
doihttps://doi.org/10.1007/978-3-319-39711-5
isbn_ebook978-3-319-39711-5Series 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 people (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
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One-Group t-Test for the Mean,ean. This test compares the mean of your data set against the hypothesized population mean for your data to determine if the difference between these two values is “l(fā)arge enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using
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Two-Group t-Test of the Difference of the Means for Independent Groups, 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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