In: Statistics and Probability
A certain flight arrives on time 89 percent of the time. Suppose 148 flights are randomly selected. Use the normal approximation to the binomial to approximate the probability that
(a) exactly 134 flights are on time.
(b) at least 134 flights are on time.
(c) fewer than 120 flights are on time.
(d) between 120 and 143, inclusive are on time.
X ~ Bin ( n , p)
Where n = 148 , p = 0.89
Mean = n p = 148 * 0.89 = 131.72
Standard deviation = sqrt ( n p ( 1 - p) ) = sqrt ( 148 * 0.89 ( 1 - 0.89)) = 3.8065
Uisng normal approximation,
P(X < x) = P(Z < (X - mean) / SD)
a)
With continuity correction,
P(X = 134) = P(133.5 < X < 134.5)
P ( 133.5 < X < 134.5 ) = P ( Z < ( 134.5 - 131.72 ) /
3.8065 ) - P ( Z < ( 133.5 - 131.72 ) / 3.8065 )
= P ( Z < 0.73) - P ( Z < 0.47 )
= 0.7673 - 0.6808
= 0.0865
b)
With continuity correction
P(X >= 134) = P(X > 133.5)
= P ( X > 133.5 ) = P(Z > (133.5 - 131.72 ) /
3.8065 )
= P ( Z > 0.47 )
= 1 - P ( Z < 0.47 )
= 1 - 0.6808
= 0.3192
c)
With continuity correction
P(X < 120) = P(X < 119.5)
P ( ( X < 119.5 ) = P ( Z < 119.5 - 131.72 ) / 3.8065
)
= P ( Z < -3.21 )
P ( X < 119.5 ) = 0.0007
d)
With continuity correction
P(120 < X < 143) = P(119.5 < X< 143.5)
= P ( 119.5 < X < 143.5 ) = P ( Z < ( 143.5
- 131.72 ) / 3.8065 ) - P ( Z < ( 119.5 - 131.72 ) / 3.8065
)
= P ( Z < 3.09) - P ( Z < -3.21 )
= 0.999 - 0.0007
= 0.9983