Which graphic display is most appropriate for presenting continuous data?

A histogram is the most appropriate graphic display for presenting continuous data because it effectively represents the distribution of numerical values within a specific range or interval. By grouping continuous data into defined bins, a histogram allows for visualization of the frequency distribution, enabling the identification of patterns, central tendencies, and variability.

In a histogram, the x-axis represents the range of continuous data values divided into intervals, while the y-axis reflects the frequency of observations within those intervals. This display is particularly useful for data that is not limited to discrete categories and is foundational for understanding statistical concepts such as normal distribution and standard deviation.

Other graphic displays such as bar charts or pie charts are more suitable for categorical data where individual data points or percentages of a whole need to be highlighted, but they do not show the nuances of continuous data well. While scatter plots can be useful for examining relationships between two continuous variables, they are not designed to summarize the distribution of a single continuous variable effectively like a histogram does.