The document provides information about z-scores and the normal distribution:
1) It defines a z-score as a measure of how many standard deviations above or below the mean a data point is, and explains that z-scores can be used to describe where a score falls on the normal distribution curve.
2) An example is given of calculating the z-score for a student who scores 700 on the SAT, when the mean score is 500 and standard deviation is 100.
3) Another example shows calculating which of two tests (math or English) a score of 78 would be further above the mean, given the means, standard deviations and score for each test.