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Titlebook: Exploratory Data Analysis in Business and Economics; An Introduction Usin Thomas Cleff Textbook 2014 Springer International Publishing Swit

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發(fā)表于 2025-3-23 13:07:40 | 只看該作者
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發(fā)表于 2025-3-23 16:34:30 | 只看該作者
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發(fā)表于 2025-3-23 20:43:44 | 只看該作者
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發(fā)表于 2025-3-24 00:06:43 | 只看該作者
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發(fā)表于 2025-3-24 05:22:01 | 只看該作者
aders with an understanding of the thinking processes underlIn a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic anal
16#
發(fā)表于 2025-3-24 08:17:54 | 只看該作者
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發(fā)表于 2025-3-24 13:14:28 | 只看該作者
Umweltprobleme und bestehende L?sungsans?tze or objects (such as firms, products, or patents). This chapter thus takes a cue from Goethe’s .: “You soon will [understand]; just carry on as planned/You’ll learn reductive demonstrations/And all the proper classifications.”
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發(fā)表于 2025-3-24 16:41:47 | 只看該作者
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發(fā)表于 2025-3-24 20:51:49 | 只看該作者
https://doi.org/10.1007/978-3-322-88043-7en two different statistical assessments of the same phenomenon arrive at diametrically opposed conclusions. Yet if statistics can invariably be manipulated to support one-sided arguments, what purpose do they serve?
20#
發(fā)表于 2025-3-25 00:06:49 | 只看該作者
Statistics and Empirical Research,en two different statistical assessments of the same phenomenon arrive at diametrically opposed conclusions. Yet if statistics can invariably be manipulated to support one-sided arguments, what purpose do they serve?
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