If A and B are independent events with P( A) = 0.35 and P( B) = 0.55, then P( A| B) is:. a. .19
b. 1.57
c. .64
d. .91

Step-by-step explanation:

Two events A and B are said to be independent if the occurrence of one of the events does not affect the other occurring. For example, the event of tossing two coins is an independent event since they occur simultaneously. Two events are therefore independent if the following are true.

P(A|B) = P(A)

P(B|A) = P(B)

P(A and B) = P(A)P(B)

If A and B are independent events with P( A) = 0.35 and P( B) = 0.55,

then P( A| B) is a probability of A occurring provided that B has occurred. This is known as conditional probability for an independent event.

From the condition above for independent events, P(A|B) = P(A) and since P(A) =  0.35, hence P(A|B) =0.35

i really dont know

step-by-step explanation:

12

step-by-step explanation:

12 + 5 = 17

12x2=24

24-7=17