Which term describes a distribution with a tail that extends to the left?

The term that describes a distribution with a tail extending to the left is known as "left skewed." In a left-skewed distribution, most of the data points cluster on the right side, with fewer data points on the left side, thereby creating a longer tail on the left. This results in the mean being typically less than the median, as the few lower values pull the average down.

In contrast, a right-skewed distribution would have a tail extending to the right, with the majority of data points on the left. A symmetric distribution indicates that the data is evenly distributed around the mean, with no skewness left or right. A uniform distribution, on the other hand, is characterized by all outcomes being equally likely, which does not exhibit any tails in either direction. Therefore, the description that perfectly matches a tail extending to the left is that of a left-skewed distribution.