To start, we need to find the z-score for 102, by using the following formula:
[tex]\begin{gathered} z=\frac{x-\mu}{\sigma} \\ \text{where} \\ z\text{ is the z-score} \\ x\text{ is the value we are evaluating 102} \\ \mu\text{ is the mean 94} \\ \sigma\text{ is the standard deviation 8} \end{gathered}[/tex]By replacing the know values, we obtain the z-score:
[tex]\begin{gathered} z=\frac{102-94}{8} \\ z=\frac{8}{8} \\ z=1 \end{gathered}[/tex]Thus, the probability of x>102 is equal to 1-P(z<1), and this one we can find it in a standard normal table:
[tex]\begin{gathered} P(x>120)=1-P(z<1) \\ P(x>120)=1-0.8413 \\ P(x>120)=0.1587 \end{gathered}[/tex]The probability is 0.1587*100%=15.87%
Answer: 15.87% of the teams have scored more than 102 home runs