In a distribution with a mean of 13.79 and a median of 21, it can be classified as:

When assessing the characteristics of the distribution based on the provided mean and median values, it's essential to understand the implications of these statistics. In this case, the mean is significantly lower than the median.

In a perfectly symmetrical distribution, the mean and median would be equal. When the mean is less than the median, it indicates that the distribution has a longer tail on the left side, which pulls the mean downwards relative to the median. This characteristic is indicative of a left-skewed distribution.

Conversely, if the mean were greater than the median, it would suggest a right-skewed distribution, where the tail extends longer to the right. Without any extreme values skewing the distribution in the other direction, the difference between the mean and median in this case indicates that the distribution is skewed to the left. Thus, the classification as skewed left is accurate based on the relationship between mean and median.