1. What does Poisson Distribution describe? a. None of the choices b. Total number of Events c. Rare Events d.Future Events 2. The probability that an event happens is 0.42. What is the probability that the event won't happen? a. 0.58 b. 0 c. -0.42 d. 1 3.For a Poisson Distribution, if mean(m) = 1, then P(1) is? a. e/2 b. Indeterminate c. 1/e d. e 4. Which of the following statement is false in a binomial distribution. a. In a binomial distribution, the probability of success remains constant from trial to trial b. In a binomial distribution, the mean is always greater than its variance c. Expected value of a constant d. In a binomial distribution, the standard deviation is always less than its variance 5. Suppose we draw 4 cards from a pack of 52 cards. What is the probability of getting exactly 3 aces? a. 0.9997 b. 0.0009 c. 0.9999 d 0.0007