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Some contributions to practice of 2 x 2 contingency tables

机译：练习2 x 2应急表的一些贡献

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This paper focuses on contingency tables (CTs) used to accept or reject hypothesis that two categorical features are independent. This paper promotes a new view of the essence of CTs. Particular CTs are created as a result of phenomena governed by random factors. We put forward four simple scenarios under which CTs may be created. Further in the paper, a measure of untruthfulness of , which also may serve as the test statistics, is defined. The paper recalls several CT-related test statistics. Each test statistics produces its own power-of-the-test (PoT) function. The PoTs were determined with the Monte Carlo method and then compared to each other. In order to ease such a PoT-to-PoT comparison, the measure named 'average outgoing untruthfulness level' is put forward. Derivation, properties and example how to apply the measure in practice are given in details.
机译：本文侧重于用于接受或拒绝假设的应急表（CTS），即两个分类功能是独立的。本文促进了CTS本质的新视图。由于随机因素管理的现象，因此创建了特定的CT。我们提出了四种简单的场景，可以创建CTS。此外，定义了也可以用作测试统计的不诚实度的衡量标准。该文件召回了几种相关的CT相关测试统计数据。每个测试统计数据都会产生自己的测试力量（POT）功能。用蒙特卡罗方法测定罐，然后彼此相比。为了缓解如此盆景比较，提出了名为“平均传出不诚实水平”的措施。派生，属性和示例如何在实践中应用措施是详细的。

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