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Titlebook: Applied Statistics and Econometrics; Basic Topics and Too Bj?rnar Karlsen Kivedal Textbook 2024 The Editor(s) (if applicable) and The Autho

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發(fā)表于 2025-3-21 18:09:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Statistics and Econometrics
期刊簡(jiǎn)稱Basic Topics and Too
影響因子2023Bj?rnar Karlsen Kivedal
視頻videohttp://file.papertrans.cn/161/160162/160162.mp4
發(fā)行地址Introduces students to the basics of applied statistics and econometrics in an accessible, non-technical manner.Demonstrates how to use statistical software to interpret data, focusing on Gretl and R
圖書(shū)封面Titlebook: Applied Statistics and Econometrics; Basic Topics and Too Bj?rnar Karlsen Kivedal Textbook 2024 The Editor(s) (if applicable) and The Autho
影響因子.This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students. It covers key topics in econometrics by using step-by-step examples in Gretl and R, providing a guide to using statistical software and the tools for econometric analysis in one self-contained resource...Taking a concise, non-technical approach, the book covers topics including simple regression and hypothesis testing, multiple regression with control variables and isolating effects, instrumental variables, dummy variables, non-linear effects, probability models, heteroskedasticity, time series analysis, and other applied statistical tools such as t-tests and chi squared tests. The book uses small data sets to easily facilitate students’ transition from manual statistical calculations to using and understanding statistical software, including step-by-step examples of regression analysis, as well as additional chapters to aid with econometric notation and mathematical prerequisites, and accompanying online exercises and data sets. This book will be a valuable resource for upper undergraduate students taking courses in introductory econometrics and statistics, as we
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發(fā)表于 2025-3-21 20:50:58 | 只看該作者
https://doi.org/10.1007/978-3-322-85582-4ssociated with having a small sample and the fact that there is some variability (the standard deviation is not zero) in our sample. To test whether the mean value we found is high enough to conclude that 18-year-old men are taller now than before, we can conduct a hypothesis test.
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Hypothesis Testing,ssociated with having a small sample and the fact that there is some variability (the standard deviation is not zero) in our sample. To test whether the mean value we found is high enough to conclude that 18-year-old men are taller now than before, we can conduct a hypothesis test.
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Other Statistical Tools,mploy these tools rather than a regression model. However, it is also possible to utilize the regression model to perform many of the tests in this chapter. To examine differences between the mean values of two different variables or groups, we can use a ., often referred to as the Student’s t-test?or the unpaired t-test.
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發(fā)表于 2025-3-22 20:53:46 | 只看該作者
hematical prerequisites, and accompanying online exercises and data sets. This book will be a valuable resource for upper undergraduate students taking courses in introductory econometrics and statistics, as we978-3-031-53141-5978-3-031-53142-2
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https://doi.org/10.1007/978-94-007-3919-2g data through various measures of central tendency, dispersion, and covariation. Common quantities that are then calculated are mean, median, mode, variance, standard deviation, covariance, and correlation. Graphical presentation of the data (data visualization) is also a form of descriptive statis
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