## Bimodal Histogram

A bimodal histogram is an arrangement of a set of data into two parts. The first part is the lower part, which consists of the lowest values. The second part is the upper part, which consists of the highest values. Each value is represented by a point on the graph. The two parts are separated by a line called the mode.

The bimodal histogram is used to represent data that have two distinct modes. For example, data that consist of both positive and negative values can be represented by a bimodal histogram. In this case, the lower part would represent the negative values and the upper part would represent the positive values.

The bimodal histogram is also useful for representing data that have both continuous and discrete components.

### Example of Bimodal Histogram

An example of bimodal histogram would be the distribution of test scores in a class where some students studied hard and got high marks while others didn’t study and failed the test. The mode (most common score) for those who studied would be high, while the mode for those who didn’t would be low. This would create a bimodal histogram with two peaks, one at each mode.