Question

In a random sample of 1,000 people, it is found that 6% have a liver ailment....

In a random sample of 1,000 people, it is found that 6% have a liver ailment. Of those who have a liver ailment, 6% are heavy drinkers, 50% are moderate drinkers, and 44% are nondrinkers. Of those who do not have a liver ailment, 11% are heavy drinkers, 45% are moderate drinkers, and 44% are nondrinkers.

If a person is chosen at random, and he or she is a heavy drinker, what is the empirical probability of that person having a liver ailment?

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