In: Statistics and Probability
A certain flight arrives on time 81 percent of the time. Suppose 175 flights are randomly selected. Use the normal approximation to the binomial to approximate the probability that
(a) exactly 152 flights are on time.
(b) at least 152 flights are on time.
(c) fewer than 141flights are on time.
(d) between 141 and 148 inclusive are on time.
Mean = n * P = ( 175 * 0.81 ) = 141.75
Variance = n * P * Q = ( 175 * 0.81 * 0.19 ) = 26.9325
Standard deviation =
= 5.1897
Part a)
P ( X = 152 )
Using continuity correction
P ( n - 0.5 < X < n + 0.5 ) = P ( 152 - 0.5 < X < 152 +
0.5 ) = P ( 151.5 < X < 152.5 )
P ( 151.5 < X < 152.5 )
Standardizing the value
Z = ( 151.5 - 141.75 ) / 5.1897
Z = 1.88
Z = ( 152.5 - 141.75 ) / 5.1897
Z = 2.07
P ( 1.88 < Z < 2.07 )
P ( 151.5 < X < 152.5 ) = P ( Z < 2.07 ) - P ( Z < 1.88
)
P ( 151.5 < X < 152.5 ) = 0.9808 - 0.9699
P ( 151.5 < X < 152.5 ) = 0.011
Part b)
P ( X >= 152 )
Using continuity correction
P ( X > n - 0.5 ) = P ( X > 152 - 0.5 ) =P ( X > 151.5
)
P ( X > 151.5 ) = 1 - P ( X < 151.5 )
Standardizing the value
Z = ( 151.5 - 141.75 ) / 5.1897
Z = 1.88
P ( Z > 1.88 )
P ( X > 151.5 ) = 1 - P ( Z < 1.88 )
P ( X > 151.5 ) = 1 - 0.9699
P ( X > 151.5 ) = 0.0301
Part c)
P ( X < 141 )
Using continuity correction
P ( X < n - 0.5 ) = P ( X < 141 - 0.5 ) = P ( X < 140.5
)
P ( X < 140.5 )
Standardizing the value
Z = ( 140.5 - 141.75 ) / 5.1897
Z = -0.24
P ( X < 140.5 ) = P ( Z < -0.24 )
P ( X < 140.5 ) = 0.4052
Part d)
P ( 141 <= X <= 148 )
Using continuity correction
P ( n - 0.5 < X < n + 0.5 ) = P ( 141 - 0.5 < X < 148 +
0.5 ) = P ( 140.5 < X < 148.5 )
P ( 140.5 < X < 148.5 )
Standardizing the value
Z = ( 140.5 - 141.75 ) / 5.1897
Z = -0.24
Z = ( 148.5 - 141.75 ) / 5.1897
Z = 1.3
P ( -0.24 < Z < 1.3 )
P ( 140.5 < X < 148.5 ) = P ( Z < 1.3 ) - P ( Z < -0.24
)
P ( 140.5 < X < 148.5 ) = 0.9033 - 0.4048
P ( 140.5 < X < 148.5 ) = 0.4985