An airline, believing that 4% of passengers fail to show up for flights, overbooks. Suppose a plane will hold 300 passengers, and the airline sells 310 tickets. What is the probability the airline will not have enough seats, so someone gets bumped? Round your answer to 3 decimal places.
here for binomial distribution parameter n=310 and p=1-0.04 =0.96 |
1st method:
from exact distribution:
P(X>=301)=1-P(X<=300)= | 1-∑x=0x-1 (nCx)px(q)(n-x) = | 0.204 |
from 2nd method:
(Note from Normal approximation:
here mean of distribution=μ=np= | 297.60 | |||
and standard deviation σ=sqrt(np(1-p))= | 3.4502 | |||
for normal distribution z score =(X-μ)/σx | ||||
since np and n(1-p) both are greater than 5, we can use normal approximation of binomial distribution | ||||
therefore from normal approximation of binomial distribution and continuity correction: |
P( airline will not have enough seats )=P(301 or more people book arrive):
probability =P(X>300.5)=P(Z>(300.5-297.6)/3.45)=P(Z>0.84)=1-P(Z<0.84)=1-0.7995=0.201 |
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