A commonly used practice of airline companies is to sell more tickets than actual seats to a particular flight because customers who buy tickets do not always show up for the flight. Suppose that the percentage of no shows at flight time is 2%. For a particular flight with 380 seats, a total of 384 tickets were sold. Use normal approximation to find the probability that
(a) at most 375 passengers will show up.
(b) the airline overbooked this flight.
(c) between 4 and 8 passengers (both inclusive) will not show up.
n= | 384 | p= | 0.0200 |
here mean of distribution=μ=np= | 7.68 | |
and standard deviation σ=sqrt(np(1-p))= | 2.74 | |
for normal distribution z score =(X-μ)/σx |
therefore from normal approximation of binomial distribution and continuity correction: |
a)P( at most 375 passengers will show up ) =P(At least 5 did not show up)
probability =P(X>4.5)=P(Z>(4.5-7.68)/2.743)=P(Z>-1.16)=1-P(Z<-1.16)=1-0.123=0.8770 |
b)
the airline overbooked this flight =P(at most 3 did not show up)
probability =P(X<3.5)=(Z<(3.5-7.68)/2.743)=P(Z<-1.52)=0.0643 |
c)
probability =P(3.5<X<8.5)=P((3.5-7.68)/2.743)<Z<(8.5-7.68)/2.743)=P(-1.52<Z<0.3)=0.6179-0.0643=0.5536 |
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