Demo

Next question Get a similar question You can retry this question below ents DEMO: This demonstration problem shows how to use the Addition Rule with Contingency Tables Data Table: Marital Status / Gender Male Female Widowed 3.9 12 Divorced 9.3 8.2 Separated 18.3 6.6 Never married 47. 53.6 Married 41.9 69.2 According to the Data Table, compute the probability that a randomly selected person is male. P(male) = 3.9 + 9.3 + 18.3 + 47.8 + 41.9 121.2 270.8 270.8 Compute the probability that a randomly selected person is widowed. P(widowed) = 3.9 + 12 15.9 270.8 270.8 Compute the probability that a randomly selected person is widowed or divorced. Since widowed and divorced status are disjoint, we can use the Addition Rule P(widowed or divorced) = 3.9 + 9.3 + 12 + 8.2 33.4 270.8 270.8 Compute the probability that a randomly selected person is male or widowed. Since male and divorced status are not mutually exclusive, we need to use the General Addition Rule P(male or widowed) = 121.2 + 3.9 + 12 - 3.9 133.2 270.8 270.8 Practice Given Data Table above, compute the probability that a randomly selected person is male or married