How are histograms best described?

Histograms are graphical representations that illustrate the distribution of quantitative data by showing the frequency of data points within specified intervals or bins. Each bar in a histogram corresponds to a range of values, with the height of the bar indicating the number of data points that fall within that range.

Using histograms is particularly effective for quantitative data because they can reveal patterns such as normal distribution, skewness, and outliers in numerical datasets. Each bin represents a specific range of continuous data, allowing for easy visual analysis of how the data is distributed across those ranges.

In contrast, qualitative data, which involves categories or non-numerical values, is better represented through other types of charts, such as bar charts or pie charts. Summarizing text also does not apply to histograms, as this concept is focused on visualizing data rather than textual information. Therefore, the clear alignment of histograms with quantitative data makes this description accurate and appropriate.