0:00
Right.
00:01
So in the question says that in a national basketball association, the top free throw shooters usually have the probability of about 0 .80 of making any given free throw.
00:11
And it says that during a game, one such player shot 11 free throws.
00:16
So let x equals number of free throws made.
00:19
So what must you assume in order for x to have a binomial distribution? so the first part in this case, the student have asked to specify the values of n and p for the binomial distribution of x.
00:37
Now in the given case scenario, the size of the sample is 11 and the probability of success is 0 .80.
00:44
So if x it has a binomial distribution whose parameters are 11 and 0 .80, right? in the next part, it says that to determine the probability that the player made all 11 free throws, 10 free throws and more than 8 free throws.
01:02
So here, okay, so in this case, the first part is to compute the probability for x is equal to 11 first to fall, right? so this is equal to 11c 11 into 0 .8 to the power 11 into 1 minus 0 .8 to the power 11 minus 0 .8 to the power 11 minus 11.
01:25
So this is equal to 0 .0859.
01:29
Then we have been asked to determine the probability for x is equal to 10, that is 11c10 into 0 .8 to the part 10 into 1 minus 0 .8 to the part 11 minus 10...