In: Statistics and Probability
A certain flight arrives on time 90 percent of the time. Suppose 185 flights are randomly selected. Use the normal approximation to the binomial to approximate the probability that (a) exactly 170 flights are on time. (b) at least 170 flights are on time. (c) fewer than 174 flights are on time. (d) between 174 and 178, inclusive are on time.
P(flight arrives on time), p = 0.90
q = 1 - p = 0.10
Sample size, n = 185
Mean = np
= 185 x 0.90
= 166.5
Standard deviation =
=
= 4.08
P(X < A) = P(Z < (A - mean)/standard deviation)
a) P(exactly 170 flights are on time) = P(169.5 < X < 170.5)
= P(X < 170.5) - P(X < 169.5)
= P(Z < (170.5 - 166.5)/4.08) - P(Z < (169.5 - 166.5)/4.08)
= P(Z < 0.98) - P(Z < 0.74)
= 0.8365 - 0.7704
= 0.0661
b) P(at least 170 flights are on time) = P(X > 169.5) (continuity correction applied)
= 1 - P(X < 169.5)
= 1 - 0.7704
= 0.2296
c) P(fewer than 174 flights are on time) = P(X < 173.5) (continuity correction applied)
= P(Z < (173.5 - 166.5)/4.08)
= P(Z < 1.72)
= 0.9573
d) P(between 174 and 178, inclusive are on time)
= P(174 X 178)
P(X < 178.5) - P(X < 173.5)
= P(Z < (178.5 - 166.5)/4.08) - P(Z < (173.5 - 166.5)/4.08)
= P(Z < 2.94) - P(Z < 1.72)
= 0.9984 - 0.9573
= 0.0411