If the mode and median are greater than the mean, it indicates that the distribution of the data is negatively skewed. This means that the tail of the distribution is longer on the left side, and the majority of the data is concentrated towards the right side.
Here is an example of a negatively skewed distribution:
In this graph, the mode (the most frequently occurring value) is represented by the highest peak, the median (the middle value) is represented by the point where the distribution is divided into two equal halves, and the mean (the average) is represented by the balance point of the distribution.
Since the mode and median are greater than the mean, it suggests that there are some extreme values on the left side of the distribution, pulling the mean towards the left.