GMAT Quantitative Reasoning

GMAT Quantitative Reasoning focuses on mathematical concepts and problem-solving skills essential for success on the GMAT exam.

Basic Concepts

Data Interpretation

Making Sense of Numbers in Context

Data interpretation involves reading graphs, tables, and charts, then extracting and analyzing information. On the GMAT, you’ll tackle questions about trends, averages, and comparisons.

Important Concepts

  • Reading bar graphs, line charts, and tables
  • Calculating averages (means), medians, and modes
  • Understanding range and standard deviation (basic level)
  • Drawing logical conclusions from data

Real-World Value

Data interpretation skills are vital in business, where decisions often rely on data insights.

Examples

  • A bar chart shows monthly sales. June had the highest sales at $10,000.

  • The average of 5, 8, and 11 is \( (5 + 8 + 11) / 3 = 8 \).

In a Nutshell

Data interpretation is about extracting meaning from numbers and visual information.