When would a candidate be asked to interpret a table with multiple columns?

• A. When data is in a graph not a table.
• B. When the question requires cross-tabulation or comparing related data across categories.
• C. When the table is simple.
• D. When there is a single column.

Answer: (C)

Interpreting a table with multiple columns arises when you need to compare data across different facets or categories, not just read numbers in isolation. When a task requires cross-tabulation or comparing related data across categories, the multiple columns are there to be examined side by side to uncover relationships, trends, or differences. For example, if a table shows counts by department across several years, you’d look across columns within the same department to see how numbers change over time and also compare departments within the same year to identify which ones grew the most. That kind of comparison across columns is what makes multi-column tables meaningful to interpret. If the table is simple, or if you’re just looking at a graph instead of a table, there’s less need for cross-column interpretation.