Final answer:
Jared's score being three times greater than Justin's suggests it is an outlier; therefore, the median is a more appropriate measure of central tendency for this data.
Step-by-step explanation:
After measuring a group of individuals, a researcher finds that Jared's score is three times greater than Justin's score. These measurements must come from an outlier. An outlier is an observation in a data set that is distinct from the other values and does not fit the rest of the data. When considering measures of central tendency such as the mean, median, and mode, the presence of outliers can significantly affect the mean, making it less representative of the data set. Whereas the median, being the middle value of an ordered set, is resistant to the effects of outliers and provides a better central measure in such cases.
Given the extreme difference in scores between Jared and Justin, it is likely that Jared's score is an outlier and could skew the average, suggesting that the median would be a more appropriate measure of central tendency for this data set.