Which type of chart is NOT typically used for quantitative variables?

The response identifies the pie chart as the correct choice, which is accurate because pie charts are primarily designed to represent categorical data rather than quantitative data. They visualize parts of a whole, showing relative proportions of different categories, making them ideal for displaying data that can be divided into distinct groups.

In contrast, other chart types mentioned are often used for quantitative variables. A box plot provides a statistical summary of data by displaying the median, quartiles, and potential outliers, hence it is quite effective for quantitative analysis. A scatter diagram illustrates the relationship between two quantitative variables, highlighting trends or correlations. A line chart connects data points over a continuous range, typically used for displaying trends over time in quantitative datasets.

Understanding the specific purposes of different chart types is crucial in data representation and choice. Pie charts serve a distinct role in categorical data display, exemplifying how not all chart types are appropriate for quantitative variables.