In: Math
A small regional carrier accepted 20 reservations for a
particular flight with 17 seats. 13 reservations went to regular
customers who will arrive for the flight. Each of the remaining
passengers will arrive for the flight with a 40% chance,
independently of each other.
Find the probability that overbooking occurs.
Find the probability that the flight has empty seats.
Assume that a procedure yields a binomial distribution with a
trial repeated n=5n=5 times. Use some form of technology to find
the probability distribution given the probability p=0.299p=0.299
of success on a single trial.
(Report answers accurate to 4 decimal places.)
k | P(X = k) |
---|---|
0 | |
1 | |
2 | |
3 | |
4 | |
5 |
1)
total seats=17
seats reserved =13
remaining passengers =20-13 = 7
probability that overbooking occurs =P(out of 7 passenger, more than 4 passenger arrive) =P(X=5) + P(X=6) + P(X=7) =
P ( X = 5) = C (7,5) * 0.4^5 * ( 1 - 0.4)^2=
0.0774
P ( X = 6) = C (7,6) * 0.4^6 * ( 1 - 0.4)^1=
0.0172
P ( X = 7) = C (7,7) * 0.4^7 * ( 1 - 0.4)^0=
0.0016
so, P(overbooking) = 0.0963
-----------------------
P( flight has empty seats) = P(out of 7 passengers, less than 4 passenger arrive)
P ( X = 0) = C (7,0) * 0.4^0 * ( 1 - 0.4)^7=
0.0280
P ( X = 1) = C (7,1) * 0.4^1 * ( 1 - 0.4)^6=
0.1306
P ( X = 2) = C (7,2) * 0.4^2 * ( 1 - 0.4)^5=
0.2613
P ( X = 3) = C (7,3) * 0.4^3 * ( 1 - 0.4)^4=
0.2903
P( flight has empty seats) =P(X=0) + P(X=1) + P(X=2) + P(X3)
=0.7102
==============================
Sample size , n = 5
Probability of an event of interest, p = 0.299
and probability is given by
P(X=x) = C(n,x)*px*(1-p)(n-x) |
X | P(X) | |
P ( X = 0) = C (5,0) * 0.299^0 * ( 1 - 0.299)^5= | 0 | 0.1693 |
P ( X = 1) = C (5,1) * 0.299^1 * ( 1 - 0.299)^4= | 1 | 0.3610 |
P ( X = 2) = C (5,2) * 0.299^2 * ( 1 - 0.299)^3= | 2 | 0.3080 |
P ( X = 3) = C (5,3) * 0.299^3 * ( 1 - 0.299)^2= | 3 | 0.1314 |
P ( X = 4) = C (5,4) * 0.299^4 * ( 1 - 0.299)^1= | 4 | 0.0280 |
P ( X = 5) = C (5,5) * 0.299^5 * ( 1 - 0.299)^0= | 5 | 0.0024 |