A study concluded that among people with a certain virus, 99.2% of tests conducted were (correctly) positive, while for people without the virus, 98.1% of the tests were (correctly) negative. If 29% of patients actually carry the virus, what's the probability that a patient testing negative is truly free of the virus?
