1. For the cumulative distribution function of a discrete random variable X, namely Fx(.), if Fx( a ) = 1, for all values of b ( b > a ), Fx(b) = 1 A. True B. False 2. For the probability mass function of a discrete random variable X, namely px(.), Os px ( x ) s 1 holds no matter what value xx takes. A. True B. False 3. Let $2 be the sample space and A(C 2) be an event. The modern definition of the probability of an event , namely Pr(A), is Pr(A) = 1At Here, | 4 | denotes the number of the elementary events contained in A, and |$2| denotes the number of the elementary events contained in !. A. True B. False 4. For two continuous random variables X and Y, V [X+Y] = V[X]+ V[Y] A. True B. False 4. If the probability of event A is 0.1, the probability of the complementary event of A is 0.9. A. True B. False