What type of distribution is characterized by having two humps?

A distribution that has two distinct peaks or humps is referred to as bimodal. This characteristic indicates that there are two prevalent values in the dataset, which suggests that the data may be drawn from two different processes or groups. Each peak represents a local maximum in frequency, implying that observations tend to cluster around these two values rather than being uniformly distributed across a range.

In contrast, other distribution types do not display this dual-peak behavior. A unimodal distribution has only one peak, a normal distribution is a specific kind of unimodal distribution that is symmetric and bell-shaped, and an exponential distribution typically describes the time between events in a Poisson process and is not characterized by having any peaks at all. Understanding these distinctions helps in selecting the appropriate statistical methods and interpreting data effectively in various analytical contexts.