GMAT Data Insights study materials
GMAT Data Insights study resources

GMAT Data Insights common mistakes

GMAT Data Insights · Understand the traps and how to avoid them.

Mistake 1

Assuming a variable is positive

A sign assumption can remove valid cases and make insufficient information look sufficient.

What to do instead

List the stated domain and test permitted positive, negative or zero cases where they can change the requested answer.

Mistake 2

Accepting one successful example

An example can fit a proposed rule without showing that all allowed cases have the same outcome.

What to do instead

Seek a permitted counterexample or explain why the algebra covers every value in the stated domain.

Mistake 3

Mixing percent and percentage points

The difference between two rates and a relative change from a baseline use different denominators.

What to do instead

Write the requested comparison as a fraction or difference before computing, and label the resulting unit.

Mistake 4

Losing a solution through division

Dividing by a variable expression silently assumes that expression is nonzero and can discard a valid case.

What to do instead

Factor or separate the zero case first, then check all candidates in the original relation.

Mistake 5

Ignoring equivalent answers

Distinct-looking algebraic forms or unreduced fractions can represent the same value or solution set.

What to do instead

Simplify and compare every plausible option, checking original restrictions before accepting a unique key.

Mistake 6

Averaging unequal group means directly

Groups with different counts contribute different numbers of observations to the combined total.

What to do instead

Recover each group sum from its count and mean, add the sums and divide by the combined count.

Mistake 7

Treating correlation as a causal guarantee

A numerical association can arise through confounding, selection or chance without proving the proposed mechanism.

What to do instead

State the observed pattern and identify additional evidence or design needed for a causal conclusion.

Mistake 8

Importing an unstated source fact

A familiar test format, historical belief or external example can contradict the actual supplied passage or model.

What to do instead

Use the question’s sources and restrictions first, and leave current exam policy and unsupported facts unspecified.