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派博传思国际中心 »期刊书目

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Titlebook: Excel 2019 for Social Science Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2021Latest edition The Editor(s) (if applicable) an

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发表于 2025-3-21 19:22:14 | 显示全部楼层 |阅读模式
书目名称Excel 2019 for Social Science Statistics
副标题A Guide to Solving P
编辑Thomas J. Quirk
视频videohttp://file.papertrans.cn/319/318291/318291.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
丛书名称Excel for Statistics
图书封面Titlebook: Excel 2019 for Social Science Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2021Latest edition The Editor(s) (if applicable) an
描述This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published .Excel 2016 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 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. .Excel 2019 for Social Science Statistics: A Guide to Solving Practical Problems. capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work..In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice
出版日期Textbook 2021Latest edition
关键词Applied Social Science Statistics; Social Science Statistics; Applied Sciences; Excel 2019 Social Scien
版次2
doihttps://doi.org/10.1007/978-3-030-64333-1
isbn_softcover978-3-030-64332-4
isbn_ebook978-3-030-64333-1Series 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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Fitting Splines to a Parametric Functionnd the standard error of the mean (s.e.) of these scores. All three of these statistics are basic to the study of statistics and are used frequently within many additional statistical tests. The formulas are presented, explained, and a practical example is given for each formula that shows how the f
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General Principles of Institution Design,h you want to take a random sample. You will learn how to use Excel to create frame numbers for generating random numbers, why a set of duplicate frame numbers is important, and the Excel commands needed to sort the frame numbers into a random sequence. In addition, you will learn how to print out y
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https://doi.org/10.1007/978-3-642-39541-3confidence 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 co
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Federative Law: A Fettered Revolution?,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 “large enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using
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Stefania Fabrizio,Daniel Leigh,Ashoka Modyon model by using . to predict Y instead of a single predictor as we discussed in Chap. . of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighted differently in an equation, to predict Y. The job of multiple correlation
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