00:01
This problem says that at a certain airport, 77 % of the flights arrive on time.
00:05
A sample of 12 flights is studied.
00:06
Find the probability that 10 or more of the flights were on time, rounding to 4 decimal places.
00:11
And the way we're going to find this probability is by treating this as a binomial distribution, because we do have a probability that is success or failure.
00:18
Either we're going to be on time or we're not.
00:20
And we also have variables or events that are independent from each other, and that the probability of one flight being on time or not isn't going to affect the probability for the next flight.
00:28
And because of this, we'll use binomial cdf in our calculator to find our probability.
00:33
And we're using cdf instead of pdf because we want the cumulative probability that we are at least or 10 or more flights on time.
00:40
And for binomial cdf in our calculator, we need four values to get a probability we're looking for...