MAT Data Analysis and Sufficiency Mock Tests

Data analysis in MAT is about reading charts accurately and calculating quickly. It is more forgiving than CAT DILR, but still needs practice.

Reading before calculating

Most mistakes in data questions come from misreading axes, units or the question's base. Spending a few extra seconds to confirm what is being asked saves far more than it costs.

Formats to practise

  • Tables and bar charts with percentage and ratio questions
  • Pie charts and line graphs with comparisons across years
  • Data sufficiency, where you decide whether the given information is enough

Building speed

Practise approximation: rounding figures sensibly makes many comparisons instant. Use data interpretation sets for drills and note which calculation type slows you most, such as percentage change. In mocks, attempt sufficiency questions in a block; they follow a consistent logic once learnt.

See the MAT preparation plan, Quantitative Aptitude and the MAT hub.

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Frequently asked questions

A question format in which you judge whether given statements provide enough information to answer a question, without necessarily computing the answer.

Use approximation, read the question before the chart, and practise a fixed set of calculations until they are automatic.