Compare the mean and median of the dataset.

Given:
Mean $= 50$
Median $= 40$

If the mean is greater than the median, the distribution is right-skewed (or positively skewed). This means the tail of the distribution extends more to the right.
If the mean is less than the median, the distribution is left-skewed (or negatively skewed). This means the tail of the distribution extends more to the left.
If the mean is approximately equal to the median, the distribution is symmetrical (e.g., normal distribution).

In this case, $50 > 40$, so the mean is greater than the median.

Since the mean is greater than the median, the distribution is right-skewed.

The final answer is $\text{Right skewed}$.