Which graphical displays could be appropriate for actual weight data?

The selection of a histogram, stemplot, or box plot for displaying actual weight data is particularly appropriate because these graphical representations are designed to work with quantitative data, which weight measurements fall under.

A histogram effectively shows the distribution of weight data by dividing the range of values into intervals (bins) and counting how many data points fall into each bin. This allows for a visual representation of the frequency of weights, which can reveal patterns like skewness or normality in the data.

A stemplot (or stem-and-leaf display) also provides a way to visualize the distribution while retaining the actual data values, allowing for easy identification of individual weights alongside an overall view of their distribution.

A box plot is beneficial for summarizing the central tendency and variability of the weight data through its median, quartiles, and potential outliers. It condenses the information into a single visual that allows for quick comparisons and insights into the data's spread and symmetry.

In contrast, pie charts and area charts are generally more appropriate for categorical or qualitative data, as they depict parts of a whole rather than the distribution of continuous quantitative data like weights. Bar charts can be suitable for categorical data as well; while they could illustrate different weight categories or groups, they do