What is a common visual representation for showing quantitative data values?

A histogram is a common visual representation specifically designed to show the distribution of quantitative data values. It is effective for displaying the frequency of data points across different intervals or bins, allowing viewers to quickly assess patterns, trends, and the shape of the data distribution.

Histograms provide a clear visual format that enables comparisons among data groups, making it easier to identify where most data points are concentrated and how they spread across the quantitative scale. This type of representation is especially useful in statistics for analyzing large sets of data, as it simplifies complex information and enhances interpretability.

While tables present data in a structured format and can include quantitative values, they do not offer the same visual impact or immediate insights into distribution as histograms. Charts, which encompass a broader category including bar charts, line charts, and pie charts, may also be used for quantitative data but do not specifically highlight the frequency distribution like histograms do. A deck of cards does not represent quantitative data at all, making it irrelevant in this context.