The Omega-DeltaUgh variant of COVID-IQ is sweeping the United States. To better predict whether someone has this variant, a new COVID test is created. - People who are truly infected with this variant have a 0.95 probability of correctly testing positive (this represents the \"sensitivity\" of this test) 0 People who are not infected with this variant have a 0.92 probability of correctly testing negative (this represents the \"specicity\" of this test) . Let's assume for sake of this example that 2% who test are truly infected. . Also assume that all tests are clearly positive or negative (no inconclulsive results). a) (1 pt) What is the probability that someone will test negative given that they are actually infected? b) (1 pt) What is the probability that someone is infected given that they received a positive result? c) (1 pt) What is the probability that someone is not infected given that they received a negative result