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Fig 1.

Six different types of visualization for the Bayesian 2-test case.

(A) Euler diagram (B) Icon array (C) Frequency grid (D) Eikosogram (E) Roulette-wheel diagram, and (F) Tree diagram. Omitting the information on the second test in the different visualizations results in the corresponding visualization of the 1-test case.

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Fig 1 Expand

Fig 2.

Probability and natural frequency tree of a 2-test case (implemented in studies 1 and 2).

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Fig 2 Expand

Table 1.

Design of the twelve resulting problem versions implemented (Study 1).

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Table 1 Expand

Table 2.

Problem formulations for both contexts (breast cancer screening problem and HIV testing problem).

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Table 2 Expand

Fig 3.

Percentages of correct inferences in Study 1.

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Fig 3 Expand

Fig 4.

Three different tree diagrams with natural frequencies for the breast cancer screening problem (implemented in Study 2).

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Fig 4 Expand

Table 3.

Design of the twelve resulting problem versions implemented (Study 2).

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Table 3 Expand

Fig 5.

Percentages of correct inferences in Study 2.

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Fig 5 Expand