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Confidence Intervals and the Within-the-Bar Bias

机译:置信区间和门槛偏差

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Bar graphs displaying means have been shown to bias interpretations of the underlying distributions: viewers typically report higher likelihoods for values within a bar than outside of a bar. One explanation is that viewer attention is driven by the whole bar, rather than only the edge that provides information about an average. This study explored several approaches to correcting this bias. Bar graphs with 95% confidence intervals were used with different levels of contrast to manipulate attention directed to the bar. Viewers showed less bias when the salience of the bar itself was reduced. Response latencies were lowest and bias was eliminated when participants were presented with only a confidence interval and no bar.
机译:条形图显示工具已显示出偏向于基本分布的解释:与条形图外部相比,观看者通常报告条形图内值的可能性更高。一种解释是,观看者的注意力是由整个条形驱动的,而不仅仅是提供有关平均值的信息的边缘。这项研究探索了纠正这种偏差的几种方法。使用具有95%置信区间的条形图以及不同的对比度水平来操纵针对条形的注意力。当条形本身的显着性降低时,观众的偏见减少。当参与者只有一个置信区间且没有障碍时,反应潜伏期最低,并且消除了偏见。

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