Quant Strategy

Quantitative Comparison: the GRE's most-feared question type is also its most learnable

Quantitative Comparison (QC) questions ask you to compare two quantities — Quantity A and Quantity B — and choose whether A is greater, B is greater, they're equal, or it can't be determined. Most students treat these like mini word problems and try to calculate exact values for both sides.

That approach works, but it's slow, and slow is dangerous on a section where pacing matters. The students who score highest on GRE Quant treat QC questions completely differently: as reasoning puzzles, not calculation problems.

The reframe: you rarely need exact values

Because QC only asks which quantity is bigger, not what either quantity equals, you often don't need to fully solve anything. If both quantities involve the same variable or expression, you can frequently simplify by subtracting, dividing, or substituting — leaving a much simpler comparison.

Example mindset: if Quantity A is 3x + 7 and Quantity B is 3x + 12, you don't need to know x. Subtract 3x from both sides — you're left with comparing 7 and 12. B is greater, period, regardless of x's value (as long as the operation is valid for all real x).

The trap: "it cannot be determined"

This is the answer choice most students under-select — and it's correct more often than intuition suggests. Any time a problem involves a variable with no stated constraints (could it be negative? zero? a fraction?), test multiple cases before assuming a relationship holds.

The systematic check: try a “normal” number (like 2), then try zero, then try a negative number, then try a fraction. If the relationship between A and B changes across these cases, the answer is “cannot be determined.” If it holds across all of them, you likely have your answer.

Data Interpretation: the other commonly-missed category

Data Interpretation sets (reading graphs, tables, and charts) aren't conceptually hard — they're reading hard. The most common error isn't a math mistake; it's misreading an axis label, a unit (millions vs. thousands), or a “percent of” phrase (percent of what, exactly?).

Before doing any calculation on a Data Interpretation question, spend five seconds confirming: what are the units? What does each axis represent? Is the question asking for an absolute value, a percentage, or a percentage change? These distinctions are where most points are lost — not in the arithmetic itself.

A realistic study sequence

If Quant is your weaker section: first, make sure core content (arithmetic, basic algebra, geometry formulas, exponent rules) is solid — there's no shortcut around content gaps. Once content is solid, shift almost all remaining practice time to Quantitative Comparison and Data Interpretation specifically. These question types reward the reasoning habits above more than any other Quant content, and they're where score gains come fastest once the underlying content is in place.

Ready to test your knowledge?
Take a GRE diagnostic and see exactly where you stand.