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Children’s quantitative Bayesian inferences from natural frequencies and number of chances

机译:儿童的定量贝叶斯人从自然频率和机会数量的推论

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Highlights ? Children’s capacity to draw quantitative Bayesian inferences appears to be limited. ? Children perform equally well with natural frequencies and number of chances. ? Children’s Bayesian inferences can be improved by fostering extensional reasoning. Abstract Zhu and Gigerenzer (2006) showed that an appreciable number of Chinese children aged between 9 and 12years old made correct quantitative Bayesian inferences requiring the integration of priors and likelihoods as long as they were presented with numerical information phrased in terms of natural frequencies. In this study, we sought to replicate this finding and extend the investigation of chi
机译:<![cdata [ 亮点 儿童绘制定量贝叶斯推论的能力似乎有限。 儿童与自然频率同样好。和机会数量。 通过培养延长推理,可以提高儿童贝叶斯推论。 抽象 朱和杰尔策策(2006)表明,9至12岁的中国儿童达到了9至12岁:HSP SP =”0.25“/>历史较正了要求前瞻整合的定量贝叶斯推论只要在自然频率方面呈现了数值信息的可能性。在这项研究中,我们试图复制这一发现并扩展了对Chi的调查

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