When data are positively skewed, the mean will usually be greater than the median.
Explanation: In a positively skewed distribution, the tail on the right side is longer or fatter than the left side. This means there are a few unusually large values that pull the mean to the right, making it greater than the median. The median, being the middle value, is less affected by these extreme values and thus remains closer to the bulk of the data.