The z-score can be found the following formula:
[tex]\begin{gathered} z=\frac{x-\mu}{\sigma} \\ \text{where }\mu\text{ is the mean and }\sigma\text{ is the standard deviation} \end{gathered}[/tex]x is the value we want to find the z-score, we need to do this first as follows:
[tex]\begin{gathered} z=\frac{55-60}{8} \\ z=\frac{-5}{8} \\ z=-\text{0}.625 \end{gathered}[/tex]Thus, the find the proportion of individuals that score more than 55 points, we need to find the probability of z>-0.625. It can be written as:
[tex]P(z>-0.625)=1-P(z\le-0.625)[/tex]In a standard normal table, we can search the probability of z<=-0.625, it is:
0.26599.
By replacing this value in the formula we obtain:
[tex]\begin{gathered} P(z>-0.625)=1-0.26599 \\ P(z>-0.625)=0.7340 \end{gathered}[/tex]The proportion of individuals that score more than 55 points on this test is 73.4% of the total number of individuals.