In a random sample of 1,000 people, it is found that 7% have a liver ailment. Of those who have a liver ailment, 6% are heavy drinkers, 55% are moderate drinkers, and 39% are nondrinkers. Of those who do not have a liver ailment, 13% are heavy drinkers, 44% are moderate drinkers, and 43% are nondrinkers. If a person is chosen at random, and he or she is a heavy drinker, what is the probability of that person having a liver ailment? If a person is chosen at random, what is the probability the person is a moderate drinker?

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.