In a distribution that is strictly skewed to the left (negatively skewed), we generally expect the mean to be less than the median, which is less than the mode: $\text{Mean} < \text{Median} < \text{Mode}$.

In a distribution that is strictly skewed to the right (positively skewed), we generally expect the mode to be less than the median, which is less than the mean: $\text{Mode} < \text{Median} < \text{Mean}$.

For any distribution, the median always lies exactly halfway between the mean and the mode.

In a perfectly symmetric bimodal distribution, the mean and the median are equal to the mode.