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Sensitivity is the probability of a positive test result given that the person has the disease ($P(+\mid D)$), while specificity is the probability of a negative test result given that the person does not have the disease ($P(-\mid D^c)$). In the model, both are assumed to be $95\%$, but they apply to different subgroups: the sick versus the healthy.

Conditions: The test has $95\%$ sensitivity.; The test has $95\%$ specificity.; The model distinguishes between diseased and non-diseased populations.

Sensitivity is the probability of a positive test result given that the person has the disease ($P(+\mid D)$), while specificity is the probability of a negative test result given that the person does not have the disease ($P(-\mid D^c)$). In the model, both are assumed to be $95\%$, but they apply to different subgroups: the sick versus the healthy.

Conditions: The test has $95\%$ sensitivity.; The test has $95\%$ specificity.; The model distinguishes between diseased and non-diseased populations.