"\\mu=16000"
"\\sigma=800"
a) "P(X>18000)=1-P(X<18000)=1-P(Z<\\frac{18000-16000}{800})="
"=1-P(Z<2.5)=1-0.9938=0.0062"
b) "P(X<t)=80\\%=0.8" thus Z-score is 0.84
"\\frac{t-16000}{800}=0.84 \\implies t=16672"
c) "P(X>16200)=1-P(X<16200)=1-P(Z<\\frac{16200-16000}{800})="
"=1-P(Z<0.25)=1-0.5987=0.4013"
Thus 40% of salaries of an employee are over $16200. We agree with the manager’s claim that over 20% of the mean salaries of the employee are higher than $16200.
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