GRE-Quantitative Exam Information and Outline
Quantitative Reasoning
GRE-Quantitative Exam Syllabus & Study Guide
Before you start practicing with our exam simulator, it is essential to understand the official GRE-Quantitative exam objectives. This course outline serves as your roadmap, breaking down exactly which technical domains and skills will be tested. By reviewing the syllabus, you can identify your strengths and focus your study time on the areas where you need the most improvement.
The information below reflects the latest 2026 course contents as defined by ETS. We provide this detailed breakdown to help you align your preparation with the actual exam format, ensuring there are no surprises on test day. Use this outline as a checklist to track your progress as you move through our practice question banks.
Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.
Exam Details:
- Number of Questions: The GRE-Quantitative exam consists of 40 multiple-choice questions. Each question may have one or more correct answers.
- Time: Candidates are given 70 minutes to complete the GRE-Quantitative section. It is important to manage time effectively to answer all the questions within the allocated time.
Course Outline:
The GRE-Quantitative exam is designed to assess the candidate's quantitative reasoning skills- including problem-solving- data interpretation- and mathematical reasoning. The exam does not require any specific knowledge of advanced mathematics. However- a strong foundation in basic mathematical concepts is essential. The course outline may include the following key areas:
1. Arithmetic:
- Number systems and their properties
- Arithmetic operations (addition- subtraction- multiplication- division)
- Fractions- decimals- and percentages
- Ratio and proportion
2. Algebra:
- Simplifying algebraic expressions
- Solving linear and quadratic equations
- Exponents and radicals
- Functions and their properties
3. Geometry:
- Basic geometric shapes and their properties (lines- angles- triangles- circles)
- Perimeter- area- and volume
- Coordinate geometry
- Geometric transformations
4. Data Analysis:
- Descriptive statistics (mean- median- mode- range)
- Probability and counting principles
- Data interpretation (tables- graphs- charts)
- Statistical concepts and measures (standard deviation- probability distributions)
Exam Objectives:
The objectives of the GRE-Quantitative exam typically include:
- Evaluating the candidate's ability to solve quantitative problems accurately and efficiently.
- Testing the candidate's understanding of basic mathematical concepts and their application in various contexts.
- Assessing the candidate's data interpretation skills and ability to make inferences from graphical and tabular data.
- Measuring the candidate's mathematical reasoning and problem-solving abilities.
Exam Syllabus:
The specific exam syllabus for the GRE-Quantitative section may include the following topics:
1. Arithmetic:
- Basic arithmetic operations and their properties
- Fractions- decimals- and percentages
- Ratio and proportion
- Exponents and roots
2. Algebra:
- Algebraic expressions and equations
- Linear and quadratic equations
- Inequalities and absolute values
- Functions and their properties
3. Geometry:
- Lines- angles- and triangles
- Circles and their properties
- Perimeter- area- and volume
- Coordinate geometry
4. Data Analysis:
- Descriptive statistics
- Probability and counting principles
- Data interpretation from tables- graphs- and charts
- Statistical concepts and measures
It is important to note that the specific content and emphasis of the GRE-Quantitative exam may be subject to change. Candidates should refer to the official GRE materials and resources provided by Educational Testing Service (ETS) for the most accurate and up-to-date information regarding the exam syllabus and content.