Answer:
is the probability of a ticket having popcorn coupon
6.02% probability that exactly 2 of the tickets have popcorn coupons.
Explanation:
For each movie ticket, there are only two possible outcomes. Either it has a popcorn coupon, or it does not. The probability of a movie ticket having a popcorn coupon is independent of other movie tickets. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
![P(X = x) = C_(n,x).p^(x).(1-p)^(n-x)](https://img.qammunity.org/2021/formulas/mathematics/college/mj488d1yx012m85w10rpw59rwq0s5qv1dq.png)
In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.
![C_(n,x) = (n!)/(x!(n-x)!)](https://img.qammunity.org/2021/formulas/mathematics/college/qaowm9lzn4vyb0kbgc2ooqh7fbldb6dkwq.png)
And p is the probability of X happening.
If you buy 12 movie tickets, we want to know the probability that exactly 2 of the tickets have popcorn coupons.
So p is the probability of a ticket having popcorn coupon.
The probability of buying a movie ticket with a popcorn coupon is 0.405
So
![p = 0.405](https://img.qammunity.org/2021/formulas/mathematics/college/z37a9sgmxj0nh57k2b2gd3my2butoa8cef.png)
This probability is P(X = 2) when n = 12. So
![P(X = x) = C_(n,x).p^(x).(1-p)^(n-x)](https://img.qammunity.org/2021/formulas/mathematics/college/mj488d1yx012m85w10rpw59rwq0s5qv1dq.png)
![P(X = 2) = C_(12,2).(0.405)^(2).(0.595)^(10) = 0.0602](https://img.qammunity.org/2021/formulas/mathematics/college/q6ecnf4zhrsv9f4u61b01fgyqcym90613d.png)
6.02% probability that exactly 2 of the tickets have popcorn coupons.