Answer:
0.1003
Explanation:
Mean salary = u = $ 50,000
Standard Deviation =
= $ 6,000
Top 10% of the new graduates make a salary of $57,680. We have to find the probability that the salary of new graduate is $57,680 or more. We can find this by converting this score to equivalent z score and using the z table to find the probability of z score being higher than this value, as shown below:
The formula for z score is:
![z=(x-u)/(\sigma)](https://img.qammunity.org/2020/formulas/mathematics/middle-school/agetla6r54a1p3p21qmouovxvvym53ihz5.png)
Using the values, we get:
![z=(57680-50000)/(6000)=1.28](https://img.qammunity.org/2020/formulas/mathematics/high-school/kuw1idwx6z27v8jmvflotyqsqfcknh9xuk.png)
Thus,
P(Salary ≥ 57680) = P(z ≥ 1.28)
Now, using the z table, the probability of z score being higher than 1.28 comes out to be: 0.1003
So,
P( z ≥ 1.28 ) = P(Salary ≥ 57680) = 0.1003
Thus, the probability of earning a salary of atleast 57,680 is 0.1003