When a distribution is uniform, what can be said about its data values?

In a uniform distribution, data values are evenly distributed across the entire range. This means that each value within the specified interval has an equal likelihood of occurring, leading to a flat shape when graphed. Unlike other distributions, which may show clustering or central tendencies, uniform distributions lack peaks and valleys, resulting in a consistent height across the range of values.

This characteristic of even distribution is crucial as it indicates that no particular value is more common than another, offering a distinct contrast to other distribution types like normal distributions that cluster around a mean or distributions that exhibit outliers, where certain values occur much less frequently than others.

Therefore, identifying that the data values in a uniform distribution are spread out evenly across the range is fundamental to understanding its properties and behaviors in statistical contexts.