Using subtraction of normal variables, it is found that there is a 0.5704 = 57.04% probability that their scores are within 10 points of each other.
In a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
In this problem:
The probability that their scores are within 10 points of each other is the probability that the subtraction is between -10 and 10, that is, the p-value of Z when X = 10 subtracted by the p-value of Z when X = -10.
X = 10:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{10 - 0}{12.73}[/tex]
[tex]Z = 0.79[/tex]
[tex]Z = 0.79[/tex] has a p-value of 0.7852.
X = -10:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{-10 - 0}{12.73}[/tex]
[tex]Z = -0.79[/tex]
[tex]Z = -0.79[/tex] has a p-value of 0.2148.
0.7852 - 0.2148 = 0.5704.
0.5704 = 57.04% probability that their scores are within 10 points of each other.
You can learn more about subtraction of normal variables at https://brainly.com/question/14397951