00:01
Alright, so here the question is that according to an airline flights on a certain route are 85 % on time, right.
00:09
So suppose there are 20 flights that have been selected and the number of on time is recorded.
00:15
Now first part of the question here is that why explain why this is a binomial distribution.
00:21
So for the first part of the question, the correct options here is option a, right because the probability of success here is the same for each trial that is 0 .85, right and the number of trials are also fixed that is 20, right.
00:37
Now the next is the third option c is correct that is there are two mutually exclusive outcomes success or failure, right.
00:47
Then the option f is correct that the trials are independent of one another and the last option is also correct that is the experiment is performed a fixed number of times that is option g, right.
01:03
Now the next part of the question is to compute the probability that exactly 15 flights are on time.
01:08
Now for a binomial distribution, first of all the formula for computing a probability is ncx into p to the power x into 1 minus p to the power n minus x, right.
01:20
So here we have been asked to compute the probability of x is equal to 15.
01:25
So this will be 20c15 into this is 0 .85 to the power 15 into 1 minus 0 .85 to the power 20 minus 15, alright.
01:40
So this is equal to 0 .1029.
01:46
Now the next part of the question here, it says that what is the probability that fewer than 15 flights are on time.
01:55
So this is the probability of x is less than 15 or we say this is 1 minus the probability of x is greater than equal to 15.
02:04
So this is equal to 1 minus probability of x is equal to 15 plus probability of x is 16 plus probability of x is 17 plus probability of x is 19 plus probability of x is 20, right.
02:18
So with the same formula, we will compute each of these probabilities...