Answer:
P(L ∩ <u>O)</u> = 0.23
Step-by-step explanation:
We are going to define the probabilistic events how:
E: Flights arrive early P(E) =0.15
T: Flights arrive on time P(T) = 0.25
O: Flights are overbooked P(O) = 0.65
<u>O</u>: Flights are not overbooked
L: Flights arrive late
How 72 percent are late or not overbooked, then P(<u>O</u> ∪ L ) = 0.72
Our question is : What is the probability that the flight selected will be late and not overbooked? It means, what is P(L ∩ <u>O)</u>
This probability may be calculated how:
P(L ∩ <u>O)</u> = P(L) + P (<u>O</u>) - P(<u>O</u> ∪ L )
1 = P(L) + P(E) + P(O)
1 = P(L) + 0.15 + 0.25
P(L) = 0.6
how P(0) = 0.65, then P(<u>O</u>) = 0.35
Thus
P(L ∩ <u>O)</u> = 0.6 + 0.35 - 0.72
P(L ∩ <u>O)</u> = 0.23