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Table 1.

Experimental Stimuli: Frequencies of Covariance Events in Different Conditions.

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Table 1 Expand

Fig 1.

Mean of causal ratings in conditions in Experiment 1.

Error bars are standard errors. AU is the ambiguous-unknown condition.

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Fig 1 Expand

Table 2.

Beta Regression on Causal Ratings Predicted by Evidence Types and Contingency Conditions.

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Table 2 Expand

Fig 2.

Percentages of strategy selection among subjects in Experiment 1.

Unambiguous: estimated the AU observations depending on the probability of unambiguous active viruses, or the causal link between the unambiguous viruses and the chemical. Uniform: regarded the AU virus samples as equally likely to be active or inactive viruses. Active: regarded the AU virus samples to be active viruses. Inactive: regarded the AU virus samples to be inactive viruses. Ignore: ignored the AU samples. Others: other strategies.

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Fig 2 Expand

Table 3.

Mean, Standard Deviations and Correlations of Working Memory Measures.

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Table 3 Expand

Fig 3.

Mean causal ratings across conditions in Experiment 2.

Error bars are standard errors.

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Fig 3 Expand

Table 4.

Effects of Ambiguity and WM measures on Causal Ratings in Experiment 2.

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Table 4 Expand

Fig 4.

Mean causal ratings across conditions in Experiment 3.

Error bars are standard errors.

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Fig 4 Expand

Table 5.

Effects of Ambiguity on Causal Ratings of the Positive Contingency in Experiment 3.

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Table 5 Expand

Table 6.

Effects of Ambiguity in Presence of the Cause on Causal Ratings of the Negative Contingency in Experiment 3.

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Table 6 Expand

Table 7.

Effects of Ambiguity on Causal Ratings of the Zero Contingency in Experiment 3.

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Table 7 Expand

Table 8.

Beta Regression on Causal Ratings Predicted by Experimental Factors and WMC.

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Table 8 Expand