Question 1
Interpret the symbol P(B|A) and explain what is meant by the expression. What do we know if P(B|A) is not the same as
![](data:image/png;base64, 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)
Question 2
Cause of Death
![](data:image/png;base64, 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)
Discuss the methods for finding the following two probabilities and explain the important differences in the computations.
1) If one person is randomly selected, find the probability that he or she died of heart disease.
2) If one person is randomly selected, find the probability that he or she died of heart disease given that he or she was a nonsmoker.