In: Statistics and Probability
A certain flight arrives on time 88 percent of the time. Suppose 145 flights are randomly selected. Use the normal approximation to the binomial to approximate the probability that
(a) exactly 128 flights are on time.
(b) at least 128 flights are on time.
(c) fewer than 124 flights are on time.
(d) between 124 and 125, inclusive are on time.
(Round to four decimal places as needed.)
SOLUTION:
From given data,
A certain flight arrives on time 88 percent of the time. Suppose 145 flights are randomly selected. Use the normal approximation to the binomial to approximate the probability that
Where,
p = 88% = 88/100 = 0.88
q = 1-p = 1-0.88 =0.12
n = 145
Mean = = n*p = 145*0.88 = 127.6
Standard deviation = = sqrt(n*p*q) = sqrt(145*0.88 *0.12) = 3.91305
Z = X- / = X-127.6 / 3.91305
(a) exactly 128 flights are on time.
exactly 128 means P(X=128) = P(127.5 < X < 128.5) (By using continues correlation )
At X = 127.5
Z =(127.5-127.6) / 3.91305 = -0.02
At X = 128.5
Z =(128.5-127.6) / 3.91305 = 0.22
P(127.5 < X < 128.5) = P(-0.02 < Z < 0.22)
P(127.5 < X < 128.5) = P(Z < 0.22) - P(Z < -0.02)
P(127.5 < X < 128.5) =0.58706 - 0.49202
P(127.5 < X < 128.5) =0.0950
(b) at least 128 flights are on time.
P(X > 128) = P(X > 127.5) (by using continues correction)
P(X > 127.5) = P(Z > (127.5-127.6)/3.91305)
P(X > 127.5) = P( Z > -0.02)
P(X > 127.5) = 1- P( Z< -0.02)
P(X > 127.5) = 1- 0.49202
P(X > 127.5) = 0.5079
(c) fewer than 124 flights are on time.
P(X < 124 ) =P(X<124.5) (by using continouse correction)
P(X<124.5) = P(Z < (124.5-127.6)/3.91305)
P(X<124.5) = P(Z < -0.79)
P(X<124.5) = 0.2147
(d) between 124 and 125, inclusive are on time.
At X = 124
Z =(124-127.6) / 3.91305 = -0.91
At X = 125
Z =(125-127.6) / 3.91305 = -0.66
P(124 < X < 125) = P(-0.91 < Z < -0.66)
P(124 < X < 125) = P(Z < -0.66) - P(Z < -0.91)
P(124 < X < 125) =0.25463 - 0.18141
P(124 < X < 125) =0.0732