Answer:
0.1003
Step-by-step explanation:
Mean salary = u = $ 50,000
Standard Deviation = [tex]\sigma[/tex] = $ 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:
[tex]z=\frac{x-u}{\sigma}[/tex]
Using the values, we get:
[tex]z=\frac{57680-50000}{6000}=1.28[/tex]
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