In: Statistics and Probability
certain flight arrives on time 85 percent of the time. Suppose 127 flights are randomly selected. Use the normal approximation to the binomial to approximate the probability that (a) exactly 120 flights are on time. (b) at least 120 flights are on time. (c) fewer than 100 flights are on time. (d) between 100 and 120, inclusive are on time.
Using Normal Approximation to Binomial
Mean = n * P = ( 127 * 0.85 ) = 107.95
Variance = n * P * Q = ( 127 * 0.85 * 0.15 ) = 16.1925
Standard deviation = √(variance) = √(16.1925) = 4.024
a)
P ( X = 120 ) = ?
Using continuity correction
P ( n - 0.5 < X < n + 0.5 ) = P ( 120 - 0.5 < X < 120 +
0.5 ) = P ( 119.5 < X < 120.5 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 119.5 - 107.95 ) / 4.024
Z = 2.87
Z = ( 120.5 - 107.95 ) / 4.024
Z = 3.12
P ( 2.87 < Z < 3.12 )
P ( 119.5 < X < 120.5 ) = P ( Z < 3.12 ) - P ( Z < 2.87
)
P ( 119.5 < X < 120.5 ) = 0.9991 - 0.9979
P ( 119.5 < X < 120.5 ) = 0.0011
b)
P ( X >= 120 ) = ?
Using continuity correction
P ( X > n - 0.5 ) = P ( X > 120 - 0.5 ) =P ( X > 119.5
)
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 119.5 - 107.95 ) / 4.024
Z = 2.87
P ( ( X - µ ) / σ ) > ( 119.5 - 107.95 ) / 4.024 )
P ( Z > 2.87 )
P ( X > 119.5 ) = 1 - P ( Z < 2.87 )
P ( X > 119.5 ) = 1 - 0.9979
P ( X > 119.5 ) = 0.0021
c)
P ( X < 100 ) = ?
Using continuity correction
P ( X < n - 0.5 ) = P ( X < 100 - 0.5 ) = P ( X < 99.5
)
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 99.5 - 107.95 ) / 4.024
Z = -2.1
P ( ( X - µ ) / σ ) < ( 99.5 - 107.95 ) / 4.024 )
P ( X < 99.5 ) = P ( Z < -2.1 )
P ( X < 99.5 ) = 0.0179
d)
P ( 100 <= X <= 120 ) = ?
Using continuity correction
P ( n - 0.5 < X < n + 0.5 ) = P ( 100 - 0.5 < X < 120 +
0.5 ) = P ( 99.5 < X < 120.5 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 99.5 - 107.95 ) / 4.024
Z = -2.1
Z = ( 120.5 - 107.95 ) / 4.024
Z = 3.12
P ( -2.1 < Z < 3.12 ) =?
P ( 99.5 < X < 120.5 ) = P ( Z < 3.12 ) - P ( Z < -2.1
)
P ( 99.5 < X < 120.5 ) = 0.9991 - 0.0179
P ( 99.5 < X < 120.5 ) = 0.9812