Final answer:
For skewed data, the median is the most appropriate measure of center since it is less influenced by extreme values than the mean.
Step-by-step explanation:
Appropriate Measure of Center for Skewed Data
To determine which measure of center would be most appropriate for the data in question, one must consider the shape of the distribution. If the data is skewed, it is generally better to use the median as the measure of center, because the median is not affected by outliers or extreme values as much as the mean. Therefore, option B ('Median, because the data is skewed') is the correct answer, particularly when the data presented is skewed to the right or to the left.
The mean is more affected by the skewness because it includes all data values in its calculation and thus will be dragged in the direction of the long tail of the distribution. For symmetrical data, both the mean and median are centrally located and tend to be close or the same value. However, if the data is not symmetrical, choosing the median over the mean helps to avoid the influence of the skew.