Answer:
0.064 = 6.4% probability that none of the 10 calls result in a reservation.
Explanation:
For each call, there are only two possible outcomes. Either it results in a reservation, or it does not. The probability of a call resulting in a reservation is independent of other calls. 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.
24% of the calls to an airline reservation phone line result in a reservation being made.
This means that
![p = 0.24](https://img.qammunity.org/2021/formulas/mathematics/college/95c5kt7l06h33cum49epe09i7py071trtq.png)
Suppose that an operator handles 10 calls. What is the probability that none of the 10 calls result in a reservation?
This is P(X = 0) when n = 10. 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 = 0) = C_(10,0).(0.24)^(0).(0.76)^(10) = 0.064](https://img.qammunity.org/2021/formulas/mathematics/college/jrarr4hicvd3zzmxdxzejfkpftdrosvxh3.png)
0.064 = 6.4% probability that none of the 10 calls result in a reservation.