The approximate probability that the mean salary of 100 players is no more than $3.0 million is 0.0151.
We follow these steps to arrive at the answer:
We have
Population Mean (μ) = $3.2 million
Sample Mean (X bar) = $3.0 million
Population Standard Deviation (σ) = $1.2 million
Sample Size (n) = 100
We use the following formula to find the Z score with the data listed above:
[tex] Z = \frac{Xbar - \mu }{\frac{\sigma }{\sqrt{n}}} [/tex]
[tex] Z = \frac{3.0 - 3.26}{\frac{1.2 }{\sqrt{100}}} [/tex]
[tex] Z = \frac{-0.26}{0.12} [/tex]
[tex] Z = -2.1666667 [/tex]
We can refer to the Z tables or use an online calculator to find an area under the normal curve.
Since we need to find the probability that mean salary is no more than $3.0 million, we need to find the area to the left of the calculated Z score.
[tex] P(X bar) \leq 3.0 = 0.0151301 [/tex]