What would a data set with two modes be classified as?

A data set that has two modes is classified as bimodal. The term "mode" refers to the value(s) that appear most frequently in a data set. When a data set has two distinct values that both occur with the highest frequency, it is categorized specifically as bimodal to indicate the presence of these two modes.

In contrast, a unimodal data set would have only one mode, meaning there is only one value that appears most frequently. A multimodal data set contains more than two modes, indicating multiple values that share the same high frequency. A normal distribution refers to a specific statistical pattern characterized by a bell-shaped curve and is unrelated to the presence of modes. Thus, recognizing the specific classification of "bimodal" for sets with exactly two modes is crucial for accurately interpreting data characteristics.