Final answer:
Converting raw scores to z-scores allows for the comparison of scores from different data sets with different means and standard deviations.
Step-by-step explanation:
The benefit of converting raw scores from a sample into z-scores is that it allows for the comparison of scores from different data sets that have different means and standard deviations. Z-scores tell us how many standard deviations a score falls above or below the mean. For example, if we have two data sets with different means and standard deviations, we can convert the raw scores from each data set into z-scores and compare them to see how they differ relative to their respective means and standard deviations.