Airline tickets can be purchased online, by telephone, or by using a travel agent. Passengers who have a ticket sometimes don't show up for their flights. Suppose a person who purchased a ticket is selected at random. Consider the following events.
O | = | event selected person purchased ticket online |
N | = | event selected person did not show up for flight |
Suppose
P(O) = 0.80,
P(N) = 0.09,
and
P(O ∩ N) = 0.04.
(a)
Are the events N and O independent? How can you tell?
-Yes, the events O and N are independent because P(O ∩ N) ≠ P(O)·P(N)
-Yes, the events O and N are independent because P(O ∩ N) = P(O)·P(N)
-No, the events O and N are not independent because P(O ∩ N) = P(O)·P(N)
-No, the events O and N are not independent because P(O ∩ N) ≠ P(O)·P(N)
(b)
Construct a hypothetical 1,000 table with columns corresponding to N and not N and rows corresponding to O and not O.
N | Not N | Total | |
---|---|---|---|
O | 2 | 3 | 4 |
Not O | 5 | 6 | 7 |
Total | 8 | 9 | 1,000 |
(c)
Use the table to find P(O ∪ N):____
Give a relative frequency interpretation of this probability.
In the long run,____ % of airline ticket purchasers will buy their ticket online or not show up for a flight, or both.
Suppose
P(O) = 0.80,
P(N) = 0.09,
and
P(O ∩ N) = 0.04.
(a) Since P(O ∩ N) = 0.04 ≠P(O) .P(N)= 0.80*0.09=0.072 so the events O and N are not independent.
Hence Option: -No, the events O and N are not independent because P(O ∩ N) ≠ P(O)·P(N)
(b)
N | Not N | Total | |
---|---|---|---|
O | 0.04*1000=40 | 800-40=760 | 0.80*1000=800 |
Not O | 90-40=50 | 910-760=150 | 1000-800=200 |
Total | 0.09*1000=90 | 1000-90=910 | 1,000 |
(c)
P(O ∪ N)=P(O)+P(N)-P(O ∩ N) =800/1000+90/1000- 40/1000=0.85
In the long run, 85% of airline ticket purchasers will buy their ticket online or not show up for a flight, or both.
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