Answer: 0.03855
Explanation:
Given :A population of skiers has a distribution of weights with mean 190 pounds and standard deviation 40 pounds.
Its maximum safe load is 10000 pounds.
Let X denotes the weight of 50 people.
As per given ,
Population mean weight of 50 people =
Standard deviation of 50 people

Then , the probability its maximum safe load will be exceeded =
![P(X>10000)=P((X-\mu)/(\sigma)>(10000-9500)/(282.84))\\\\=P(z>1.7671-8)\\\\=1-P(z\leq1.7678)\ \ \ \ [\because\ P(Z>z)=P(Z\leq z)]\\\\=1-0.96145\ \ \ [\text{ By p-value of table}]\\\\=0.03855](https://img.qammunity.org/2021/formulas/mathematics/college/ze770veqri8alsik66arjcngo5t9aomx56.png)
Thus , the probability its maximum safe load will be exceeded = 0.03855