Answer :
Final answer:
A negatively skewed distribution means that the median will be less than the mean.
Explanation:
A negatively skewed distribution means that the tail of the distribution is on the left side, meaning there are more values on the right side of the distribution.
In this case, since the mean is 122, it is pulling the distribution towards the higher values.
The median, on the other hand, represents the middle value of the distribution. Since the distribution is negatively skewed, the median will be less than the mean.
Therefore, none of the given values (51, 65, 87.5, 13.5) could be the median of the distribution.
