A distribution with a significantly high number of unusually low values is known as what type of distribution?

A distribution characterized by a significantly high number of unusually low values is described as left skewed. In a left skewed distribution, the tail on the left side is longer than the right side, indicating that there are more data points located at the lower end of the scale. This results in the bulk of the values concentrated on the right. The high number of low values pulls the mean downward, making it lower than the median.

In contrast, a normal distribution has a symmetrical bell shape with no skewness, where the mean, median, and mode are all equal. A bimodal distribution features two distinct peaks, indicating two different groups within the data, which doesn’t specifically relate to a high frequency of low values. A right skewed distribution, on the other hand, has a longer tail on the right side, with a higher concentration of values at the lower end, which is the opposite of what is described in the question. Therefore, the identification of the distribution type as left skewed is accurate due to its defining characteristics surrounding the concentration of unusually low values.