An airline gathers data on late departures and early arrivals over a month. it finds that the probability of a late departure is 12 percent, the probability of an early arrival is 27 percent, and the probability of both a late departure and an early arrival is 4 percent. which equation shows how to correctly calculate the probability of a late departure or an early arrival?

p(late departure or early arrival) = 0.12 + 0.04

p(late departure or early arrival) = 0.12 + 0.27

p(late departure or early arrival) = 0.12 + 0.27 – 0.04

p(late departure or early arrival) = 0.27 + 0.04 – 0.12

answer is c: p(late departure or early arrival) = 0.12 + 0.27 – 0.04

P(late departure or early arrival) = 0.12 + 0.27 – 0.04

Step-by-step explanation:

Given : The probability of a late departure is 12 %t, the probability of an early arrival is 27%.

i.e. P(late departure)=0.12

P(an early arrival)=0.27

The probability of both a late departure and an early arrival is 4 percent.

P(late departure and early arrival) =0.04

Now, using formula the probability of union of two dependent events A and B:-

i.e. P(late departure or early arrival) = P(late departure)+P(an early arrival)-P(late departure and early arrival)

=0.12+0.27-0.0.04

Hence, the required equation : P(late departure or early arrival) = 0.12 + 0.27 – 0.04

452,489 to the nearest thousand is 452,000

do you have a picture of the table