Posted a screenshot maybe this could help since i cant type the table

The following table gives the joint probability distribution of the speed of a car (C) and the incidence of an accident (A), where A = 0 when no accidents have occured and A = 1 when an accident has occured: C = 35 kmph C = 45 kmph C = 85 kmph 4=0 .30 .07 ).10 A =1 0.05 0.13 0.35 Complete the following table with the marginal distributions of the speed of a car (C) and the incidence of an accident (A). C = 35 kmph C = 45 kmph C= 85 kmph Marginal probability (A) 4 =0 0.30 0.07 D.10 A = 1 0.05 0.13 0.35 Marginal probability (C 0 0 Complete the following table with the conditional distribution of the speed of a car given the incidence of an accident, i.e., C given A. C = 35 kmph C = 45 kmph C = 85 kmph Total Pr(CIA = 0) Pr(CIA = 1) 0 (Round your answers to two decimal places.) The conditional expectation of the speed of the car, given no accidents take place, E(CIA = 0), is ] kmph. And, the conditional expectation of the speed of the car, given an accident takes place, E(CIA = 1), is |] kmph. Round your answers to two decimal places.) The probability Pr(C = 85|A = 1) = ] and the probability Pr(C = 85) = . The probability of having an accident (A) and the speed of a car (C) are events because