Data Insights: Table Analysis Flashcards

In Table Analysis questions, what is the primary purpose of being able to sort columns?

Answer: To quickly identify rankings, extremes, and relationships in the data

Sorting helps you find maximums, minimums, and ordered relationships without manual comparison.

A Table Analysis statement reads 'more than half of the regions had revenue above $50M.' How do you verify it?

Answer: Count regions above $50M and compare to half the total number of regions

A 'more than half' claim requires counting qualifying rows against half the row total.

Each Table Analysis question presents statements that you must evaluate as which of the following?

Answer: True/False or Yes/No based only on the table

Table Analysis uses dichotomous (Yes/No, True/False) judgments grounded in the table.

If a column shows percentages that total 100% across categories, what does this typically indicate?

Answer: The categories partition a whole, so shares can be compared directly

Percentages summing to 100% mean the categories are mutually exclusive parts of one whole.

To find the median of a numeric column in a sortable table, the most efficient approach is to:

Answer: Sort the column and select the middle value(s)

Sorting lines values up in order, making the central value the median.

A statement claims two columns are positively correlated. What pattern would support this in the table?

Answer: As one column's values increase, the other column's values also tend to increase

Positive correlation means higher values in one column accompany higher values in the other.

Why is it risky to answer a Table Analysis statement using outside business knowledge?

Answer: Answers must be supported strictly by the data in the table

Table Analysis tests reasoning from the given data, not external assumptions.