We are going to use the normal standard distribution to resolve this exercise, in that sense, finding the z value is necessary. Doing the calculations, we get
![\begin{gathered} z=\frac{\frac{x-\bar{x}}{s}}{√(n)} \\ z=((2.15-2.3)/(1.1))/(√(40)) \\ z=((-3)/(22))/(2√(10))\approx-0.0215609 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/vz99fomvchj6k77xi1lgjxbwkul451l2kt.png)
Now it only remains to calculate the probability, using a normal distribution calculator or a normal distribution table as follows
![P(z<-0.0216)\approx0.4914](https://img.qammunity.org/2023/formulas/mathematics/college/z4b0rc0iwx7xpo2fql65ldqtsk3ezwsl1m.png)
Thus, the probability that, for a sample of 40 college games to be played next week, the mean number of holding penalties will be 2.15 penalties per game or less is 0.4914