What are pictographs typically used for in comparison to interaction effects?

Pictographs are primarily used for presenting data in a visually engaging way, however, they are not well-suited for illustrating statistical concepts like interaction effects. Interaction effects arise in settings where the effect of one factor on a dependent variable differs depending on the level of another factor. Visualizing this type of relationship requires a more nuanced representation that can show how variables interact with one another.

Pictographs tend to simplify information to basic representations, often using images instead of precise indicators, which can obscure the intricate relationships required to accurately depict interaction effects. This limitation makes them less effective for displaying complex statistical variations or relationships that involve multiple interacting variables, hence the selection of the statement regarding their ineffectiveness for showing interaction effects is justified.

In contrast, bar graphs or line graphs are typically better tools for visualizing interaction effects, as they can display how different groups vary in response to changes in independent variables, allowing for clearer analysis and interpretation.