00:01
Okay, in this problem, we have a survey that showed that 76 % of adults need correction, like eyeglasses, contact, surgery, etc., for their eyesight.
00:11
So 76%, that is another way of saying 0 .76 as the proportion.
00:20
Okay, if we keep going, we have 14 adults.
00:23
They're randomly selected, and we want to find the probability that at least 13 of them need correction for their eyesight.
00:31
Okay, so 14 adults were given.
00:33
So that means our sample size or n is 14.
00:36
Now, whenever you have the proportion, 0 .76, you also have its complement, which is also represented with the letter q.
00:44
So if you do 1 minus that proportion or 1 minus p or 1 minus 0 .76, you will find its complement or q, which is 0 .24.
00:55
Basically the percent of adults that do not need correction.
00:59
Okay, great.
01:00
So it says we want to find a probability that at least, 13 of them need, at least 13 of the 14 adults require some sort of eyesight correction.
01:10
So what we're trying to do is we're trying to find the probability that x is greater than or equal to 13.
01:18
At least 13 means 13 or more.
01:22
So greater than or equal to 13.
01:25
So we're going to use a binomial distribution to use these values to compute this probability.
01:32
Okay.
01:35
So, the binomial distribution formula.
01:38
I'm going to go ahead and just write it here that we're going to use it.
01:54
Okay, so here is our binomial distribution formula.
01:57
So what we're going to do is we're going to take the values that we have and we're going to plug them in.
02:05
Okay, so since we're doing the probability of selecting someone and having a probability of at least 13 out of the 14 adults require eyesight correction, in order to do this, we're going to have, doing a binomial distribution.
02:19
One one we can do this is we want to find the probability, of exactly 13, needing some sort of eyesight correction.
02:27
And we want to find the probability of exactly 14, having some sort of eyesight correction.
02:32
Then we can add that probably together to find the probability of at least 13...