Given:
A certain disease has an incidence rate 0.6%. If the false negative rate is 4% and the false positive rate is 4%.
To know:
Probability that a person who tests positive actually has the disease.
Explanation:
We can use Bayes theorem to calculate.
Solution:
[tex]\begin{gathered} P\left(disease\left|positive\right?\right)=\frac{\left(0.006\right)\left(0.96\right)}{\left(0.006\right)\left(0.96\right)+\left(0.994\right)\left(0.04\right)} \\ \approx0.126 \end{gathered}[/tex]Hence 0.126 is the required probability.