Data Sufficiency

Some QR questions test whether you can determine what information is needed to answer a question — and whether the data set provides that information. While the UCAT does not have explicit "data sufficiency" questions in the way that some aptitude tests do, the concept is important because many QR questions include answer options like "Cannot be determined" or present scenarios where not all the information you might expect is available.

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What Is Data Sufficiency in QR?

Data sufficiency is about answering the question: "Do I have enough information to calculate the answer?"

In QR, this manifests in several ways:

Scenario 1: "Cannot Be Determined" as an Answer Option

Some questions include an option like "Cannot be determined" or "Not enough information." If the data set does not provide a value you need, this is the correct answer.

Scenario 2: Hidden Information

The data set may appear to lack information, but the answer can be derived from what is given. For example, if a table shows 4 of 5 categories and the total, you can calculate the 5th category by subtraction.

Scenario 3: Unnecessary Information