This relates to behavioral economics because when you’re short on supplies or ideas, you become stressed and you try <span>to figure out how you come up with what you need.</span>
Using the binomial distribution, supposing that 0.3 of the callers have to wait more than 8 minutes to have their calls answered, it is found that there is a 0.3828 = 38.28% probability that at most 2 of the next 10 callers will have to wait more than 8 minutes to have their calls answered.
For each caller, there are only two possible outcomes, either they have to wait more than 8 minutes to have their calls answered, or they do not. The probability of a caller having to wait more than 8 minutes is independent of any other caller, which means that the binomial distribution is used to solve this question.
Binomial probability distribution
The parameters are:
- x is the number of successes.
- n is the number of trials.
- p is the probability of a success on a single trial.
In this problem:
- 10 callers, hence

- Suppose that 0.3 of them have to wait more than 8 minutes, hence

The probability that <u>at most 2</u> of the next 10 callers will have to wait more than 8 minutes is:

Then




Then:

0.3828 = 38.28% probability that at most 2 of the next 10 callers will have to wait more than 8 minutes to have their calls answered.
A similar problem is given at brainly.com/question/25537909
X Y
— —
-2 12
-1 6
0 0
1 -6
2 -12
Answer:
0.6.
Step-by-step explanation:
If the right angle is < C the hypotenuse is c. The opposite side to angle A is a.
So sin A = a / c
= 525 / 875
= 0.6.