The correct answer is:

(A) mean > median

This situation generally occurs when the data is positively skewed. In positively skewed (or right-skewed) distributions, the mean is typically greater than the median because the mean is pulled in the direction of the skew by the larger values in the dataset.

Let me know if you'd like further details or clarification!

Here are 5 related questions for deeper understanding:

1. What is the relationship between mean, median, and mode in a negatively skewed distribution?
2. How does outlier data affect the mean compared to the median?
3. Can the median ever be larger than the mean in a dataset? In what situation?
4. What does the skewness of a distribution indicate about the data?
5. How can one determine if a distribution is symmetric?

Tip: The mean is sensitive to extreme values, while the median is more robust and resistant to outliers.